From 7899f7ad9abe4d39ae839c5019aef447b6809bee Mon Sep 17 00:00:00 2001
From: DesireeWyrzylala <74858504+DesireeWyrzylala@users.noreply.github.com>
Date: Sat, 15 Feb 2025 20:45:46 +0100
Subject: [PATCH] evaluate results from ocsvm

---
 .../anomaly/OCSVM_groups_auc-pr_anomaly.png   |   Bin 0 -> 53487 bytes
 .../auc-pr/groups/OCSVM_groups_auc-pr.png     |   Bin 0 -> 71649 bytes
 .../anomalien/OCSVM_groups_vus-pr_anomaly.png |   Bin 0 -> 55472 bytes
 .../vus-pr/groups/OCSVM_groups_vus-pr.png     |   Bin 0 -> 70698 bytes
 docs/TO DO LISTE.md                           |     3 +-
 docs/evaluation/Vergleich der Ergebnisse.md   |   328 +-
 .../AUC-PR_combined_by_group.csv              |    26 +-
 .../VUS-PR_combined_by_group.csv              |    26 +-
 ...ined_dataframe_with_metrics_and_plot.ipynb | 18211 +++++++++-------
 src/group_evaluation/create_heatmap.ipynb     |   892 +-
 .../generate_combined_dataframe.ipynb         |   313 +-
 src/models/desi/desi_evaluate_groups.ipynb    |  2438 ++-
 src/models/desi/test_hyperparameters.ipynb    |   149 +-
 13 files changed, 12039 insertions(+), 10347 deletions(-)
 create mode 100644 bilder/evaluation/auc-pr/anomaly/OCSVM_groups_auc-pr_anomaly.png
 create mode 100644 bilder/evaluation/auc-pr/groups/OCSVM_groups_auc-pr.png
 create mode 100644 bilder/evaluation/vus-pr/anomalien/OCSVM_groups_vus-pr_anomaly.png
 create mode 100644 bilder/evaluation/vus-pr/groups/OCSVM_groups_vus-pr.png

diff --git a/bilder/evaluation/auc-pr/anomaly/OCSVM_groups_auc-pr_anomaly.png b/bilder/evaluation/auc-pr/anomaly/OCSVM_groups_auc-pr_anomaly.png
new file mode 100644
index 0000000000000000000000000000000000000000..b25ca110a3af517e2606cf0eaa4e0777e07883d8
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diff --git a/bilder/evaluation/vus-pr/anomalien/OCSVM_groups_vus-pr_anomaly.png b/bilder/evaluation/vus-pr/anomalien/OCSVM_groups_vus-pr_anomaly.png
new file mode 100644
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literal 0
HcmV?d00001

diff --git a/docs/TO DO LISTE.md b/docs/TO DO LISTE.md
index 8cff748..e5e7090 100644
--- a/docs/TO DO LISTE.md	
+++ b/docs/TO DO LISTE.md	
@@ -46,4 +46,5 @@
 	+ Dichtebasiert vs. Distanzbasiert
 	+ Statistisch vs. Neuronal
 + Ausarbeiten der Algorithmen und Vorbereiten für die Hausarbeit
-+ Histplot / Barplot erstellen mit Ergebnissen von VUS-PR bei TAO von den Autoren gegenüber unseren Ergebnissen für die Modelle, bei denen die Werte stark abweichen
\ No newline at end of file
++ Histplot / Barplot erstellen mit Ergebnissen von VUS-PR bei TAO von den Autoren gegenüber unseren Ergebnissen für die Modelle, bei denen die Werte stark abweichen
++ Heatmaps für Anomalie-Typen erstellen
\ No newline at end of file
diff --git a/docs/evaluation/Vergleich der Ergebnisse.md b/docs/evaluation/Vergleich der Ergebnisse.md
index 1a1a368..8f31348 100644
--- a/docs/evaluation/Vergleich der Ergebnisse.md	
+++ b/docs/evaluation/Vergleich der Ergebnisse.md	
@@ -3,8 +3,8 @@
 | Laufzeiten                     | POLY | iForest | Sub-iForest | PCA  | USAD | CNN  | OmAn | LSTM | kShape | kMeans | OCSVM | LOF  | Sub-LOF | KNN  | KNNV2 |
 | ------------------------------ | ---- | ------- | ----------- | ---- | ---- | ---- | ---- | ---- | ------ | ------ | ----- | ---- | ------- | ---- | ----- |
 | **Bei Autoren (s)**            | 0.09 | 0.14    |             | 2    | 2    | 3    | 4    | 8    | 8.5    | 20     | 30    | 70   | 80      | 90   |       |
-| **Insgesamt (h)**              | 3.42 | 3.44    |             | 4.26 | 3.19 | 2.93 | 3.42 | 3.66 | 3.54   | 5.62   |       | 2.04 | 5.14    | 6.68 |       |
-| **Durchschnitt pro Datei (s)** | 31.0 | 31.2    |             | 38.7 | 28.9 | 26.6 | 31   | 33.2 | 32.1   | 50.9   |       | 18.5 | 46.6    | 60.5 |       |
+| **Insgesamt (h)**              | 3.42 | 3.44    |             | 4.26 | 3.19 | 2.93 | 3.42 | 3.66 | 3.54   | 5.62   | 11.5  | 2.04 | 5.14    | 6.68 |       |
+| **Durchschnitt pro Datei (s)** | 31.0 | 31.2    |             | 38.7 | 28.9 | 26.6 | 31   | 33.2 | 32.1   | 50.9   | 104.2 | 18.5 | 46.6    | 60.5 |       |
 
 # Datensätze
 + Gesamtanzahl Zeitserien: 397
@@ -13,138 +13,138 @@
 + Anzahl an Zeitserien mit nur Sequenzanomalien: 158
 
 ## Gesamtbewertung nach AUC-PR
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| UCR           | 0.156850  | 0.059389  |             | 0.138533  | 0.088392  | 0.069477  | 0.085236  | 0.028041  | 0.465144  | 0.487206  |       | 0.048985  | 0.495182  | 0.283830  |       | UCR           |
-| SMD           | 0.639394  | 0.369237  |             | 0.495851  | 0.665737  | 0.565370  | 0.531140  | 0.539890  | 0.131250  | 0.260908  |       | 0.182353  | 0.486307  | 0.162970  |       | SMD           |
-| YAHOO         | 0.075395  | 0.092730  |             | 0.117107  | 0.117266  | 0.561562  | 0.148188  | 0.443957  | 0.435473  | 0.699444  |       | 0.409909  | 0.150503  | 0.144445  |       | YAHOO         |
-| Exathlon      | 0.844513  | 0.962806  |             | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  | 0.420990  | 0.617690  |       | 0.245106  | 0.257618  | 0.563481  |       | Exathlon      |
-| NAB           | 0.526439  | 0.314587  |             | 0.486528  | 0.300305  | 0.223347  | 0.332227  | 0.153306  | 0.396635  | 0.401505  |       | 0.144844  | 0.495381  | 0.311100  |       | NAB           |
-| OPPORTUNITY   | 0.420658  | 0.733153  |             | 0.923192  | 0.651235  | 0.619160  | 0.649867  | 0.545535  | 0.366866  | 0.365381  |       | 0.153396  | 0.158653  | 0.298396  |       | OPPORTUNITY   |
-| WSD           | 0.427387  | 0.040993  |             | 0.216542  | 0.240276  | 0.303128  | 0.251057  | 0.209492  | 0.082639  | 0.146372  |       | 0.141918  | 0.539254  | 0.044597  |       | WSD           |
-| SVDB          | 0.506002  | 0.311936  |             | 0.558896  | 0.459209  | 0.197103  | 0.476835  | 0.129879  | 0.798760  | 0.809036  |       | 0.044940  | 0.356140  | 0.538270  |       | SVDB          |
-| SMAP          | 0.604826  | 0.299302  |             | 0.484416  | 0.273159  | 0.329931  | 0.385082  | 0.278827  | 0.601232  | 0.648913  |       | 0.180797  | 0.510341  | 0.453816  |       | SMAP          |
-| IOPS          | 0.332866  | 0.231569  |             | 0.372849  | 0.403523  | 0.265889  | 0.368163  | 0.320195  | 0.068365  | 0.068715  |       | 0.116787  | 0.263492  | 0.070598  |       | IOPS          |
-| TODS          | 0.239024  | 0.076521  |             | 0.124321  | 0.163915  | 0.303786  | 0.172369  | 0.205671  | 0.462057  | 0.448703  |       | 0.100820  | 0.166507  | 0.410649  |       | TODS          |
-| Stock         | 0.146590  | 0.143940  |             | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  | 0.095333  | 0.114476  |       | 0.112061  | 0.115033  | 0.096103  |       | Stock         |
-| MGAB          | 0.008996  | 0.004336  |             | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  | 0.084411  | 0.085299  |       | 0.002209  | 0.567335  | 0.325650  |       | MGAB          |
-| MSL           | 0.629533  | 0.386085  |             | 0.493320  | 0.267256  | 0.307033  | 0.394283  | 0.237442  | 0.409835  | 0.371438  |       | 0.151228  | 0.442670  | 0.313525  |       | MSL           |
-| NEK           | 0.709458  | 0.630339  |             | 0.891733  | 0.816021  | 0.685573  | 0.836145  | 0.667421  | 0.379153  | 0.346973  |       | 0.363561  | 0.554506  | 0.119174  |       | NEK           |
-| LTDB          | 0.455324  | 0.521341  |             | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  | 0.743642  | 0.765819  |       | 0.203241  | 0.333160  | 0.589828  |       | LTDB          |
-| MITDB         | 0.366934  | 0.169557  |             | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  | 0.594424  | 0.583808  |       | 0.051628  | 0.385195  | 0.500834  |       | MITDB         |
-| TAO           | 0.140526  | 0.125817  |             | 0.149144  | 0.339781  | 0.994857  | 0.344060  | 0.993397  | 0.103834  | 0.129147  |       | 0.167995  | 0.139803  | 0.108733  |       | TAO           |
-| SED           | 0.031421  | 0.691484  |             | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  | 0.722020  | 0.710575  |       | 0.082198  | 0.109660  | 0.707453  |       | SED           |
-| Daphnet       | 0.536827  | 0.496579  |             | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  | 0.033420  | 0.036445  |       | 0.129509  | 0.252282  | 0.033893  |       | Daphnet       |
-| SWaT          | 0.123133  | 0.702432  |             | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  | 0.458896  | 0.111152  |       | 0.120683  | 0.113563  | 0.110376  |       | SWaT          |
-| Power         | 0.203760  | 0.073981  |             | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  | 0.496250  | 0.507629  |       | 0.086245  | 0.175035  | 0.160167  |       | Power         |
-| CATSv2        | 0.476434  | 0.139416  |             | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  | 0.452377  | 0.455611  |       | 0.071542  | 0.511976  | 0.482166  |       | CATSv2        |
-| **Insgesamt** | **0.394** | **0.304** |             | **0.407** | **0.352** | **0.366** | **0.354** | **0.313** | **0.383** | **0.444** |       | **0.156** | **0.374** | **0.292** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| UCR           | 0.156850  | 0.059389  |             | 0.138533  | 0.088392  | 0.069477  | 0.085236  | 0.028041  | 0.465144  | 0.487206  | 0.326989  | 0.048985  | 0.495182  | 0.283830  |       | UCR           |
+| SMD           | 0.639394  | 0.369237  |             | 0.495851  | 0.665737  | 0.565370  | 0.531140  | 0.539890  | 0.131250  | 0.260908  | 0.122192  | 0.182353  | 0.486307  | 0.162970  |       | SMD           |
+| YAHOO         | 0.075395  | 0.092730  |             | 0.117107  | 0.117266  | 0.561562  | 0.148188  | 0.443957  | 0.435473  | 0.699444  | 0.083868  | 0.409909  | 0.150503  | 0.144445  |       | YAHOO         |
+| Exathlon      | 0.844513  | 0.962806  |             | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  | 0.420990  | 0.617690  | 0.556786  | 0.245106  | 0.257618  | 0.563481  |       | Exathlon      |
+| NAB           | 0.526439  | 0.314587  |             | 0.486528  | 0.300305  | 0.223347  | 0.332227  | 0.153306  | 0.396635  | 0.401505  | 0.343854  | 0.144844  | 0.495381  | 0.311100  |       | NAB           |
+| OPPORTUNITY   | 0.420658  | 0.733153  |             | 0.923192  | 0.651235  | 0.619160  | 0.649867  | 0.545535  | 0.366866  | 0.365381  | 0.147631  | 0.153396  | 0.158653  | 0.298396  |       | OPPORTUNITY   |
+| WSD           | 0.427387  | 0.040993  |             | 0.216542  | 0.240276  | 0.303128  | 0.251057  | 0.209492  | 0.082639  | 0.146372  | 0.036128  | 0.141918  | 0.539254  | 0.044597  |       | WSD           |
+| SVDB          | 0.506002  | 0.311936  |             | 0.558896  | 0.459209  | 0.197103  | 0.476835  | 0.129879  | 0.798760  | 0.809036  | 0.547080  | 0.044940  | 0.356140  | 0.538270  |       | SVDB          |
+| SMAP          | 0.604826  | 0.299302  |             | 0.484416  | 0.273159  | 0.329931  | 0.385082  | 0.278827  | 0.601232  | 0.648913  | 0.487651  | 0.180797  | 0.510341  | 0.453816  |       | SMAP          |
+| IOPS          | 0.332866  | 0.231569  |             | 0.372849  | 0.403523  | 0.265889  | 0.368163  | 0.320195  | 0.068365  | 0.068715  | 0.051207  | 0.116787  | 0.263492  | 0.070598  |       | IOPS          |
+| TODS          | 0.239024  | 0.076521  |             | 0.124321  | 0.163915  | 0.303786  | 0.172369  | 0.205671  | 0.462057  | 0.448703  | 0.404043  | 0.100820  | 0.166507  | 0.410649  |       | TODS          |
+| Stock         | 0.146590  | 0.143940  |             | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  | 0.095333  | 0.114476  | 0.097345  | 0.112061  | 0.115033  | 0.096103  |       | Stock         |
+| MGAB          | 0.008996  | 0.004336  |             | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  | 0.084411  | 0.085299  | 0.032883  | 0.002209  | 0.567335  | 0.325650  |       | MGAB          |
+| MSL           | 0.629533  | 0.386085  |             | 0.493320  | 0.267256  | 0.307033  | 0.394283  | 0.237442  | 0.409835  | 0.371438  | 0.239125  | 0.151228  | 0.442670  | 0.313525  |       | MSL           |
+| NEK           | 0.709458  | 0.630339  |             | 0.891733  | 0.816021  | 0.685573  | 0.836145  | 0.667421  | 0.379153  | 0.346973  | 0.360131  | 0.363561  | 0.554506  | 0.119174  |       | NEK           |
+| LTDB          | 0.455324  | 0.521341  |             | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  | 0.743642  | 0.765819  | 0.634659  | 0.203241  | 0.333160  | 0.589828  |       | LTDB          |
+| MITDB         | 0.366934  | 0.169557  |             | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  | 0.594424  | 0.583808  | 0.355826  | 0.051628  | 0.385195  | 0.500834  |       | MITDB         |
+| TAO           | 0.140526  | 0.125817  |             | 0.149144  | 0.339781  | 0.994857  | 0.344060  | 0.993397  | 0.103834  | 0.129147  | 0.117776  | 0.167995  | 0.139803  | 0.108733  |       | TAO           |
+| SED           | 0.031421  | 0.691484  |             | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  | 0.722020  | 0.710575  | 0.187850  | 0.082198  | 0.109660  | 0.707453  |       | SED           |
+| Daphnet       | 0.536827  | 0.496579  |             | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  | 0.033420  | 0.036445  | 0.066512  | 0.129509  | 0.252282  | 0.033893  |       | Daphnet       |
+| SWaT          | 0.123133  | 0.702432  |             | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  | 0.458896  | 0.111152  | 0.159515  | 0.120683  | 0.113563  | 0.110376  |       | SWaT          |
+| Power         | 0.203760  | 0.073981  |             | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  | 0.496250  | 0.507629  | 0.215936  | 0.086245  | 0.175035  | 0.160167  |       | Power         |
+| CATSv2        | 0.476434  | 0.139416  |             | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  | 0.452377  | 0.455611  | 0.369080  | 0.071542  | 0.511976  | 0.482166  |       | CATSv2        |
+| **Insgesamt** | **0.394** | **0.304** |             | **0.407** | **0.352** | **0.366** | **0.354** | **0.313** | **0.383** | **0.444** | **0.275** | **0.156** | **0.374** | **0.292** |       | **Insgesamt** |
 
 ## Gesamtbewertung nach VUS-PR
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| UCR           | 0.198780  | 0.058773  |             | 0.152678  | 0.084437  | 0.065443  | 0.089552  | 0.023293  | 0.460106  | 0.486822  |       | 0.051489  | 0.514326  | 0.329748  |       | UCR           |
-| SMD           | 0.663191  | 0.342406  |             | 0.467257  | 0.629404  | 0.545045  | 0.478742  | 0.483944  | 0.122593  | 0.254537  |       | 0.134985  | 0.544696  | 0.163803  |       | SMD           |
-| YAHOO         | 0.307653  | 0.135664  |             | 0.163729  | 0.192366  | 0.512096  | 0.219787  | 0.417416  | 0.491670  | 0.781824  |       | 0.381508  | 0.451001  | 0.502031  |       | YAHOO         |
-| Exathlon      | 0.847945  | 0.964836  |             | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  | 0.420845  | 0.618051  |       | 0.240338  | 0.262478  | 0.562449  |       | Exathlon      |
-| NAB           | 0.584112  | 0.342137  |             | 0.511398  | 0.308303  | 0.248091  | 0.342007  | 0.173732  | 0.415046  | 0.427477  |       | 0.165966  | 0.532450  | 0.341432  |       | NAB           |
-| OPPORTUNITY   | 0.426326  | 0.736264  |             | 0.924516  | 0.651269  | 0.632799  | 0.649931  | 0.563772  | 0.347881  | 0.351828  |       | 0.159200  | 0.149548  | 0.295398  |       | OPPORTUNITY   |
-| WSD           | 0.531110  | 0.027487  |             | 0.155366  | 0.155950  | 0.224922  | 0.157612  | 0.130270  | 0.112541  | 0.173060  |       | 0.102346  | 0.551041  | 0.083204  |       | WSD           |
-| SVDB          | 0.445531  | 0.307322  |             | 0.523984  | 0.435722  | 0.199785  | 0.445289  | 0.127489  | 0.810962  | 0.811385  |       | 0.050189  | 0.383000  | 0.591484  |       | SVDB          |
-| SMAP          | 0.727079  | 0.327727  |             | 0.566842  | 0.302212  | 0.336818  | 0.417852  | 0.273214  | 0.609905  | 0.657738  |       | 0.172499  | 0.597854  | 0.558287  |       | SMAP          |
-| IOPS          | 0.365055  | 0.134518  |             | 0.260372  | 0.192815  | 0.205826  | 0.192837  | 0.213044  | 0.064609  | 0.107988  |       | 0.123657  | 0.380817  | 0.116527  |       | IOPS          |
-| TODS          | 0.586493  | 0.487386  |             | 0.552877  | 0.529843  | 0.575941  | 0.538194  | 0.522228  | 0.747606  | 0.739257  |       | 0.485079  | 0.691125  | 0.780280  |       | TODS          |
-| Stock         | 0.805375  | 0.735886  |             | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  | 0.717890  | 0.738198  |       | 0.710487  | 0.747567  | 0.691512  |       | Stock         |
-| MGAB          | 0.008269  | 0.004379  |             | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  | 0.069759  | 0.036645  |       | 0.004639  | 0.634748  | 0.238613  |       | MGAB          |
-| MSL           | 0.734244  | 0.448709  |             | 0.523310  | 0.295208  | 0.346350  | 0.428048  | 0.305128  | 0.459063  | 0.441543  |       | 0.186700  | 0.544711  | 0.368746  |       | MSL           |
-| NEK           | 0.764836  | 0.649735  |             | 0.929171  | 0.827283  | 0.714845  | 0.858349  | 0.689697  | 0.357818  | 0.317927  |       | 0.395130  | 0.687020  | 0.132908  |       | NEK           |
-| LTDB          | 0.510507  | 0.566359  |             | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  | 0.811737  | 0.835553  |       | 0.256447  | 0.409530  | 0.692355  |       | LTDB          |
-| MITDB         | 0.320425  | 0.159042  |             | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  | 0.606652  | 0.590892  |       | 0.053749  | 0.367125  | 0.548995  |       | MITDB         |
-| TAO           | 0.808453  | 0.728970  |             | 0.840276  | 0.928987  | 0.994270  | 0.930020  | 0.995044  | 0.721004  | 0.747945  |       | 0.710584  | 0.807694  | 0.684119  |       | TAO           |
-| SED           | 0.040176  | 0.807209  |             | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  | 0.907086  | 0.895291  |       | 0.111105  | 0.253420  | 0.882987  |       | SED           |
-| Daphnet       | 0.519516  | 0.518905  |             | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  | 0.035690  | 0.039747  |       | 0.134804  | 0.253956  | 0.035185  |       | Daphnet       |
-| SWaT          | 0.103364  | 0.368230  |             | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  | 0.381310  | 0.111519  |       | 0.121168  | 0.113915  | 0.110850  |       | SWaT          |
-| Power         | 0.122294  | 0.076373  |             | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  | 0.510537  | 0.524166  |       | 0.090503  | 0.160858  | 0.166562  |       | Power         |
-| CATSv2        | 0.232252  | 0.105175  |             | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  | 0.230658  | 0.229268  |       | 0.063826  | 0.393045  | 0.354730  |       | CATSv2        |
-| **Insgesamt** | **0.478** | **0.341** |             | **0.444** | **0.375** | **0.367** | **0.377** | **0.320** | **0.423** | **0.489** |       | **0.185** | **0.473** | **0.384** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| UCR           | 0.198780  | 0.058773  |             | 0.152678  | 0.084437  | 0.065443  | 0.089552  | 0.023293  | 0.460106  | 0.486822  | 0.336356  | 0.051489  | 0.514326  | 0.329748  |       | UCR           |
+| SMD           | 0.663191  | 0.342406  |             | 0.467257  | 0.629404  | 0.545045  | 0.478742  | 0.483944  | 0.122593  | 0.254537  | 0.115908  | 0.134985  | 0.544696  | 0.163803  |       | SMD           |
+| YAHOO         | 0.307653  | 0.135664  |             | 0.163729  | 0.192366  | 0.512096  | 0.219787  | 0.417416  | 0.491670  | 0.781824  | 0.306932  | 0.381508  | 0.451001  | 0.502031  |       | YAHOO         |
+| Exathlon      | 0.847945  | 0.964836  |             | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  | 0.420845  | 0.618051  | 0.557891  | 0.240338  | 0.262478  | 0.562449  |       | Exathlon      |
+| NAB           | 0.584112  | 0.342137  |             | 0.511398  | 0.308303  | 0.248091  | 0.342007  | 0.173732  | 0.415046  | 0.427477  | 0.376638  | 0.165966  | 0.532450  | 0.341432  |       | NAB           |
+| OPPORTUNITY   | 0.426326  | 0.736264  |             | 0.924516  | 0.651269  | 0.632799  | 0.649931  | 0.563772  | 0.347881  | 0.351828  | 0.148914  | 0.159200  | 0.149548  | 0.295398  |       | OPPORTUNITY   |
+| WSD           | 0.531110  | 0.027487  |             | 0.155366  | 0.155950  | 0.224922  | 0.157612  | 0.130270  | 0.112541  | 0.173060  | 0.039999  | 0.102346  | 0.551041  | 0.083204  |       | WSD           |
+| SVDB          | 0.445531  | 0.307322  |             | 0.523984  | 0.435722  | 0.199785  | 0.445289  | 0.127489  | 0.810962  | 0.811385  | 0.592468  | 0.050189  | 0.383000  | 0.591484  |       | SVDB          |
+| SMAP          | 0.727079  | 0.327727  |             | 0.566842  | 0.302212  | 0.336818  | 0.417852  | 0.273214  | 0.609905  | 0.657738  | 0.565618  | 0.172499  | 0.597854  | 0.558287  |       | SMAP          |
+| IOPS          | 0.365055  | 0.134518  |             | 0.260372  | 0.192815  | 0.205826  | 0.192837  | 0.213044  | 0.064609  | 0.107988  | 0.067672  | 0.123657  | 0.380817  | 0.116527  |       | IOPS          |
+| TODS          | 0.586493  | 0.487386  |             | 0.552877  | 0.529843  | 0.575941  | 0.538194  | 0.522228  | 0.747606  | 0.739257  | 0.748147  | 0.485079  | 0.691125  | 0.780280  |       | TODS          |
+| Stock         | 0.805375  | 0.735886  |             | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  | 0.717890  | 0.738198  | 0.717377  | 0.710487  | 0.747567  | 0.691512  |       | Stock         |
+| MGAB          | 0.008269  | 0.004379  |             | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  | 0.069759  | 0.036645  | 0.007014  | 0.004639  | 0.634748  | 0.238613  |       | MGAB          |
+| MSL           | 0.734244  | 0.448709  |             | 0.523310  | 0.295208  | 0.346350  | 0.428048  | 0.305128  | 0.459063  | 0.441543  | 0.276927  | 0.186700  | 0.544711  | 0.368746  |       | MSL           |
+| NEK           | 0.764836  | 0.649735  |             | 0.929171  | 0.827283  | 0.714845  | 0.858349  | 0.689697  | 0.357818  | 0.317927  | 0.367261  | 0.395130  | 0.687020  | 0.132908  |       | NEK           |
+| LTDB          | 0.510507  | 0.566359  |             | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  | 0.811737  | 0.835553  | 0.692470  | 0.256447  | 0.409530  | 0.692355  |       | LTDB          |
+| MITDB         | 0.320425  | 0.159042  |             | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  | 0.606652  | 0.590892  | 0.351133  | 0.053749  | 0.367125  | 0.548995  |       | MITDB         |
+| TAO           | 0.808453  | 0.728970  |             | 0.840276  | 0.928987  | 0.994270  | 0.930020  | 0.995044  | 0.721004  | 0.747945  | 0.720442  | 0.710584  | 0.807694  | 0.684119  |       | TAO           |
+| SED           | 0.040176  | 0.807209  |             | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  | 0.907086  | 0.895291  | 0.164910  | 0.111105  | 0.253420  | 0.882987  |       | SED           |
+| Daphnet       | 0.519516  | 0.518905  |             | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  | 0.035690  | 0.039747  | 0.070139  | 0.134804  | 0.253956  | 0.035185  |       | Daphnet       |
+| SWaT          | 0.103364  | 0.368230  |             | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  | 0.381310  | 0.111519  | 0.159981  | 0.121168  | 0.113915  | 0.110850  |       | SWaT          |
+| Power         | 0.122294  | 0.076373  |             | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  | 0.510537  | 0.524166  | 0.225393  | 0.090503  | 0.160858  | 0.166562  |       | Power         |
+| CATSv2        | 0.232252  | 0.105175  |             | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  | 0.230658  | 0.229268  | 0.311384  | 0.063826  | 0.393045  | 0.354730  |       | CATSv2        |
+| **Insgesamt** | **0.478** | **0.341** |             | **0.444** | **0.375** | **0.367** | **0.377** | **0.320** | **0.423** | **0.489** | **0.339** | **0.185** | **0.473** | **0.384** |       | **Insgesamt** |
 
 ## Gesamtbewertung der Punktanomalien nach AUC-PR
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| UCR           | 0.000257  | 0.000139  |             | 0.000196  | 0.000178  | 0.000498  | 0.000178  | 0.000221  | 0.000854  | 0.002843  |       | 0.000653  | 0.040927  | 0.003749  |       | UCR           |
-| YAHOO         | 0.024161  | 0.007312  |             | 0.060498  | 0.087663  | 0.587049  | 0.122574  | 0.455103  | 0.464439  | 0.742578  |       | 0.422520  | 0.141987  | 0.130716  |       | YAHOO         |
-| WSD           | 0.167066  | 0.000501  |             | 0.206655  | 0.285712  | 0.342989  | 0.407280  | 0.334638  | 0.001119  | 0.003073  |       | 0.003879  | 0.327958  | 0.000945  |       | WSD           |
-| IOPS          | 0.141657  | 0.011860  |             | 0.036186  | 0.016979  | 0.210157  | 0.016952  | 0.197084  | 0.148483  | 0.066886  |       | 0.176712  | 0.121683  | 0.041389  |       | IOPS          |
-| TODS          | 0.061866  | 0.069264  |             | 0.067229  | 0.065809  | 0.531847  | 0.064650  | 0.367334  | 0.081935  | 0.083989  |       | 0.071959  | 0.077775  | 0.075986  |       | TODS          |
-| Stock         | 0.146590  | 0.143940  |             | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  | 0.095333  | 0.114476  |       | 0.112061  | 0.115033  | 0.096103  |       | Stock         |
-| TAO           | 0.148356  | 0.126763  |             | 0.160428  | 0.330086  | 0.993457  | 0.336829  | 0.994218  | 0.101534  | 0.121904  |       | 0.128972  | 0.145212  | 0.098915  |       | TAO           |
-| **Insgesamt** | **0.060** | **0.039** |             | **0.079** | **0.100** | **0.585** | **0.125** | **0.426** | **0.293** | **0.451** |       | **0.274** | **0.131** | **0.101** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| UCR           | 0.000257  | 0.000139  |             | 0.000196  | 0.000178  | 0.000498  | 0.000178  | 0.000221  | 0.000854  | 0.002843  | 0.001794  | 0.000653  | 0.040927  | 0.003749  |       | UCR           |
+| YAHOO         | 0.024161  | 0.007312  |             | 0.060498  | 0.087663  | 0.587049  | 0.122574  | 0.455103  | 0.464439  | 0.742578  | 0.040087  | 0.422520  | 0.141987  | 0.130716  |       | YAHOO         |
+| WSD           | 0.167066  | 0.000501  |             | 0.206655  | 0.285712  | 0.342989  | 0.407280  | 0.334638  | 0.001119  | 0.003073  | 0.002159  | 0.003879  | 0.327958  | 0.000945  |       | WSD           |
+| IOPS          | 0.141657  | 0.011860  |             | 0.036186  | 0.016979  | 0.210157  | 0.016952  | 0.197084  | 0.148483  | 0.066886  | 0.024701  | 0.176712  | 0.121683  | 0.041389  |       | IOPS          |
+| TODS          | 0.061866  | 0.069264  |             | 0.067229  | 0.065809  | 0.531847  | 0.064650  | 0.367334  | 0.081935  | 0.083989  | 0.070625  | 0.071959  | 0.077775  | 0.075986  |       | TODS          |
+| Stock         | 0.146590  | 0.143940  |             | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  | 0.095333  | 0.114476  | 0.097345  | 0.112061  | 0.115033  | 0.096103  |       | Stock         |
+| TAO           | 0.148356  | 0.126763  |             | 0.160428  | 0.330086  | 0.993457  | 0.336829  | 0.994218  | 0.101534  | 0.121904  | 0.110446  | 0.128972  | 0.145212  | 0.098915  |       | TAO           |
+| **Insgesamt** | **0.060** | **0.039** |             | **0.079** | **0.100** | **0.585** | **0.125** | **0.426** | **0.293** | **0.451** | **0.049** | **0.274** | **0.131** | **0.101** |       | **Insgesamt** |
 
 
 ## Gesamtbewertung der Punktanomalien nach VUS-PR
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| UCR           | 0.003356  | 0.000267  |             | 0.000408  | 0.000406  | 0.128496  | 0.000406  | 0.000237  | 0.004607  | 0.012483  |       | 0.012963  | 0.208122  | 0.011814  |       | UCR           |
-| YAHOO         | 0.282071  | 0.052201  |             | 0.113436  | 0.159136  | 0.519819  | 0.190097  | 0.414255  | 0.518467  | 0.826036  |       | 0.383203  | 0.475296  | 0.521624  |       | YAHOO         |
-| WSD           | 0.216267  | 0.001036  |             | 0.124850  | 0.088179  | 0.131018  | 0.105822  | 0.100076  | 0.007506  | 0.021818  |       | 0.035113  | 0.140331  | 0.007947  |       | WSD           |
-| IOPS          | 0.187766  | 0.017686  |             | 0.048169  | 0.042432  | 0.147113  | 0.035031  | 0.080739  | 0.065996  | 0.202456  |       | 0.073159  | 0.327754  | 0.327373  |       | IOPS          |
-| TODS          | 0.803771  | 0.815915  |             | 0.820717  | 0.780347  | 0.895740  | 0.800324  | 0.852834  | 0.850387  | 0.857103  |       | 0.786747  | 0.849582  | 0.855125  |       | TODS          |
-| Stock         | 0.805375  | 0.735886  |             | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  | 0.717890  | 0.738198  |       | 0.710487  | 0.747567  | 0.691512  |       | Stock         |
-| TAO           | 0.761585  | 0.654975  |             | 0.805852  | 0.907035  | 0.991524  | 0.908594  | 0.992980  | 0.634080  | 0.666432  |       | 0.623702  | 0.755775  | 0.570248  |       | TAO           |
-| **Insgesamt** | **0.392** | **0.232** |             | **0.294** | **0.310** | **0.571** | **0.329** | **0.471** | **0.495** | **0.680** |       | **0.416** | **0.514** | **0.500** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| UCR           | 0.003356  | 0.000267  |             | 0.000408  | 0.000406  | 0.128496  | 0.000406  | 0.000237  | 0.004607  | 0.012483  | 0.027690  | 0.012963  | 0.208122  | 0.011814  |       | UCR           |
+| YAHOO         | 0.282071  | 0.052201  |             | 0.113436  | 0.159136  | 0.519819  | 0.190097  | 0.414255  | 0.518467  | 0.826036  | 0.282248  | 0.383203  | 0.475296  | 0.521624  |       | YAHOO         |
+| WSD           | 0.216267  | 0.001036  |             | 0.124850  | 0.088179  | 0.131018  | 0.105822  | 0.100076  | 0.007506  | 0.021818  | 0.006227  | 0.035113  | 0.140331  | 0.007947  |       | WSD           |
+| IOPS          | 0.187766  | 0.017686  |             | 0.048169  | 0.042432  | 0.147113  | 0.035031  | 0.080739  | 0.065996  | 0.202456  | 0.019092  | 0.073159  | 0.327754  | 0.327373  |       | IOPS          |
+| TODS          | 0.803771  | 0.815915  |             | 0.820717  | 0.780347  | 0.895740  | 0.800324  | 0.852834  | 0.850387  | 0.857103  | 0.851819  | 0.786747  | 0.849582  | 0.855125  |       | TODS          |
+| Stock         | 0.805375  | 0.735886  |             | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  | 0.717890  | 0.738198  | 0.717377  | 0.710487  | 0.747567  | 0.691512  |       | Stock         |
+| TAO           | 0.761585  | 0.654975  |             | 0.805852  | 0.907035  | 0.991524  | 0.908594  | 0.992980  | 0.634080  | 0.666432  | 0.624783  | 0.623702  | 0.755775  | 0.570248  |       | TAO           |
+| **Insgesamt** | **0.392** | **0.232** |             | **0.294** | **0.310** | **0.571** | **0.329** | **0.471** | **0.495** | **0.680** | **0.362** | **0.416** | **0.514** | **0.500** |       | **Insgesamt** |
 
 
 ## Gesamtbewertung der Sequenzanomalien nach AUC-PR
 
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| SMD           | 0.439343  | 0.336128  |             | 0.459753  | 0.561216  | 0.505749  | 0.460181  | 0.495482  | 0.077411  | 0.095816  |       | 0.163313  | 0.339639  | 0.050501  |       | SMD           |
-| YAHOO         | 0.571428  | 0.981990  |             | 0.690088  | 0.349449  | 0.345384  | 0.349465  | 0.344485  | 0.240316  | 0.462352  |       | 0.316546  | 0.242005  | 0.306868  |       | YAHOO         |
-| Exathlon      | 0.844513  | 0.962806  |             | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  | 0.420990  | 0.617690  |       | 0.245106  | 0.257618  | 0.563481  |       | Exathlon      |
-| NAB           | 0.402974  | 0.251317  |             | 0.439685  | 0.272908  | 0.209869  | 0.335713  | 0.162982  | 0.251877  | 0.230029  |       | 0.154619  | 0.457316  | 0.176029  |       | NAB           |
-| OPPORTUNITY   | 0.624496  | 0.870159  |             | 0.968964  | 0.661820  | 0.727956  | 0.661818  | 0.547465  | 0.283461  | 0.276125  |       | 0.144952  | 0.154555  | 0.263868  |       | OPPORTUNITY   |
-| WSD           | 0.324235  | 0.067695  |             | 0.099717  | 0.122887  | 0.242314  | 0.123481  | 0.127908  | 0.143776  | 0.253831  |       | 0.094898  | 0.452830  | 0.077550  |       | WSD           |
-| SVDB          | 0.483934  | 0.313933  |             | 0.541451  | 0.445765  | 0.198720  | 0.465020  | 0.130291  | 0.788394  | 0.799099  |       | 0.046729  | 0.329395  | 0.519348  |       | SVDB          |
-| SMAP          | 0.798189  | 0.481811  |             | 0.887517  | 0.865663  | 0.241609  | 0.876352  | 0.233398  | 0.850192  | 0.928300  |       | 0.060424  | 0.488277  | 0.788114  |       | SMAP          |
-| IOPS          | 0.482294  | 0.276687  |             | 0.549216  | 0.710230  | 0.429909  | 0.721261  | 0.461068  | 0.069434  | 0.061431  |       | 0.272670  | 0.157124  | 0.031872  |       | IOPS          |
-| TODS          | 0.281649  | 0.071679  |             | 0.149989  | 0.184682  | 0.206602  | 0.191109  | 0.170148  | 0.627511  | 0.592072  |       | 0.081599  | 0.240756  | 0.533591  |       | TODS          |
-| MGAB          | 0.008996  | 0.004336  |             | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  | 0.084411  | 0.085299  |       | 0.002209  | 0.567335  | 0.325650  |       | MGAB          |
-| MSL           | 0.557113  | 0.453614  |             | 0.475464  | 0.104606  | 0.264200  | 0.364941  | 0.257571  | 0.194985  | 0.288743  |       | 0.277979  | 0.368527  | 0.238423  |       | MSL           |
-| NEK           | 0.568731  | 0.688168  |             | 0.849600  | 0.863096  | 0.715902  | 0.877024  | 0.681103  | 0.375066  | 0.331911  |       | 0.356301  | 0.433487  | 0.146699  |       | NEK           |
-| LTDB          | 0.455324  | 0.521341  |             | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  | 0.743642  | 0.765819  |       | 0.203241  | 0.333160  | 0.589828  |       | LTDB          |
-| MITDB         | 0.366934  | 0.169557  |             | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  | 0.594424  | 0.583808  |       | 0.051628  | 0.385195  | 0.500834  |       | MITDB         |
-| SED           | 0.031421  | 0.691484  |             | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  | 0.722020  | 0.710575  |       | 0.082198  | 0.109660  | 0.707453  |       | SED           |
-| Daphnet       | 0.536827  | 0.496579  |             | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  | 0.033420  | 0.036445  |       | 0.129509  | 0.252282  | 0.033893  |       | Daphnet       |
-| SWaT          | 0.123133  | 0.702432  |             | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  | 0.458896  | 0.111152  |       | 0.120683  | 0.113563  | 0.110376  |       | SWaT          |
-| Power         | 0.203760  | 0.073981  |             | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  | 0.496250  | 0.507629  |       | 0.086245  | 0.175035  | 0.160167  |       | Power         |
-| CATSv2        | 0.476434  | 0.139416  |             | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  | 0.452377  | 0.455611  |       | 0.071542  | 0.511976  | 0.482166  |       | CATSv2        |
-| **Insgesamt** | **0.499** | **0.479** |             | **0.553** | **0.474** | **0.387** | **0.481** | **0.357** | **0.396** | **0.449** |       | **0.150** | **0.330** | **0.364** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| SMD           | 0.439343  | 0.336128  |             | 0.459753  | 0.561216  | 0.505749  | 0.460181  | 0.495482  | 0.077411  | 0.095816  | 0.077154  | 0.163313  | 0.339639  | 0.050501  |       | SMD           |
+| YAHOO         | 0.571428  | 0.981990  |             | 0.690088  | 0.349449  | 0.345384  | 0.349465  | 0.344485  | 0.240316  | 0.462352  | 0.498439  | 0.316546  | 0.242005  | 0.306868  |       | YAHOO         |
+| Exathlon      | 0.844513  | 0.962806  |             | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  | 0.420990  | 0.617690  | 0.556786  | 0.245106  | 0.257618  | 0.563481  |       | Exathlon      |
+| NAB           | 0.402974  | 0.251317  |             | 0.439685  | 0.272908  | 0.209869  | 0.335713  | 0.162982  | 0.251877  | 0.230029  | 0.245686  | 0.154619  | 0.457316  | 0.176029  |       | NAB           |
+| OPPORTUNITY   | 0.624496  | 0.870159  |             | 0.968964  | 0.661820  | 0.727956  | 0.661818  | 0.547465  | 0.283461  | 0.276125  | 0.090132  | 0.144952  | 0.154555  | 0.263868  |       | OPPORTUNITY   |
+| WSD           | 0.324235  | 0.067695  |             | 0.099717  | 0.122887  | 0.242314  | 0.123481  | 0.127908  | 0.143776  | 0.253831  | 0.038635  | 0.094898  | 0.452830  | 0.077550  |       | WSD           |
+| SVDB          | 0.483934  | 0.313933  |             | 0.541451  | 0.445765  | 0.198720  | 0.465020  | 0.130291  | 0.788394  | 0.799099  | 0.544488  | 0.046729  | 0.329395  | 0.519348  |       | SVDB          |
+| SMAP          | 0.798189  | 0.481811  |             | 0.887517  | 0.865663  | 0.241609  | 0.876352  | 0.233398  | 0.850192  | 0.928300  | 0.760857  | 0.060424  | 0.488277  | 0.788114  |       | SMAP          |
+| IOPS          | 0.482294  | 0.276687  |             | 0.549216  | 0.710230  | 0.429909  | 0.721261  | 0.461068  | 0.069434  | 0.061431  | 0.101872  | 0.272670  | 0.157124  | 0.031872  |       | IOPS          |
+| TODS          | 0.281649  | 0.071679  |             | 0.149989  | 0.184682  | 0.206602  | 0.191109  | 0.170148  | 0.627511  | 0.592072  | 0.557978  | 0.081599  | 0.240756  | 0.533591  |       | TODS          |
+| MGAB          | 0.008996  | 0.004336  |             | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  | 0.084411  | 0.085299  | 0.032883  | 0.002209  | 0.567335  | 0.325650  |       | MGAB          |
+| MSL           | 0.557113  | 0.453614  |             | 0.475464  | 0.104606  | 0.264200  | 0.364941  | 0.257571  | 0.194985  | 0.288743  | 0.153546  | 0.277979  | 0.368527  | 0.238423  |       | MSL           |
+| NEK           | 0.568731  | 0.688168  |             | 0.849600  | 0.863096  | 0.715902  | 0.877024  | 0.681103  | 0.375066  | 0.331911  | 0.420323  | 0.356301  | 0.433487  | 0.146699  |       | NEK           |
+| LTDB          | 0.455324  | 0.521341  |             | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  | 0.743642  | 0.765819  | 0.634659  | 0.203241  | 0.333160  | 0.589828  |       | LTDB          |
+| MITDB         | 0.366934  | 0.169557  |             | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  | 0.594424  | 0.583808  | 0.355826  | 0.051628  | 0.385195  | 0.500834  |       | MITDB         |
+| SED           | 0.031421  | 0.691484  |             | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  | 0.722020  | 0.710575  | 0.187850  | 0.082198  | 0.109660  | 0.707453  |       | SED           |
+| Daphnet       | 0.536827  | 0.496579  |             | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  | 0.033420  | 0.036445  | 0.066512  | 0.129509  | 0.252282  | 0.033893  |       | Daphnet       |
+| SWaT          | 0.123133  | 0.702432  |             | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  | 0.458896  | 0.111152  | 0.159515  | 0.120683  | 0.113563  | 0.110376  |       | SWaT          |
+| Power         | 0.203760  | 0.073981  |             | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  | 0.496250  | 0.507629  | 0.215936  | 0.086245  | 0.175035  | 0.160167  |       | Power         |
+| CATSv2        | 0.476434  | 0.139416  |             | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  | 0.452377  | 0.455611  | 0.369080  | 0.071542  | 0.511976  | 0.482166  |       | CATSv2        |
+| **Insgesamt** | **0.499** | **0.479** |             | **0.553** | **0.474** | **0.387** | **0.481** | **0.357** | **0.396** | **0.449** | **0.335** | **0.150** | **0.330** | **0.364** |       | **Insgesamt** |
 
 ## Gesamtbewertung der Sequenzanomalien nach VUS-PR
 
-| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
-| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | --------- | --------- | --------- | ----- | ------------- |
-| SMD           | 0.482296  | 0.322146  |             | 0.423162  | 0.519965  | 0.503535  | 0.410939  | 0.453416  | 0.070547  | 0.092843  |       | 0.137760  | 0.457631  | 0.063644  |       | SMD           |
-| YAHOO         | 0.518566  | 0.936245  |             | 0.568333  | 0.354527  | 0.351064  | 0.354507  | 0.348855  | 0.276917  | 0.477510  |       | 0.304093  | 0.188491  | 0.322916  |       | YAHOO         |
-| Exathlon      | 0.847945  | 0.964836  |             | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  | 0.420845  | 0.618051  |       | 0.240338  | 0.262478  | 0.562449  |       | Exathlon      |
-| NAB           | 0.478372  | 0.285635  |             | 0.474780  | 0.262268  | 0.238264  | 0.326918  | 0.181686  | 0.282421  | 0.272775  |       | 0.183564  | 0.511944  | 0.219327  |       | NAB           |
-| OPPORTUNITY   | 0.630618  | 0.868003  |             | 0.966351  | 0.660160  | 0.741769  | 0.660151  | 0.567052  | 0.253277  | 0.255118  |       | 0.152842  | 0.139082  | 0.257788  |       | OPPORTUNITY   |
-| WSD           | 0.457794  | 0.038526  |             | 0.067564  | 0.086910  | 0.206990  | 0.087346  | 0.100554  | 0.192884  | 0.293116  |       | 0.073377  | 0.608260  | 0.142998  |       | WSD           |
-| SVDB          | 0.423050  | 0.314567  |             | 0.508621  | 0.424770  | 0.206479  | 0.436465  | 0.131672  | 0.804276  | 0.804472  |       | 0.052218  | 0.359030  | 0.579059  |       | SVDB          |
-| SMAP          | 0.891481  | 0.487664  |             | 0.951739  | 0.947702  | 0.237156  | 0.951635  | 0.223192  | 0.861769  | 0.946525  |       | 0.046142  | 0.599966  | 0.818737  |       | SMAP          |
-| IOPS          | 0.426245  | 0.267117  |             | 0.422834  | 0.341683  | 0.312286  | 0.380533  | 0.334417  | 0.090598  | 0.112229  |       | 0.302989  | 0.258387  | 0.111561  |       | IOPS          |
-| TODS          | 0.437694  | 0.174752  |             | 0.342464  | 0.336685  | 0.331028  | 0.338275  | 0.263210  | 0.719779  | 0.689051  |       | 0.198760  | 0.600606  | 0.773793  |       | TODS          |
-| MGAB          | 0.008269  | 0.004379  |             | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  | 0.069759  | 0.036645  |       | 0.004639  | 0.634748  | 0.238613  |       | MGAB          |
-| MSL           | 0.653967  | 0.514630  |             | 0.492975  | 0.142125  | 0.326973  | 0.412021  | 0.309296  | 0.290049  | 0.405174  |       | 0.327778  | 0.487796  | 0.303536  |       | MSL           |
-| NEK           | 0.628709  | 0.678337  |             | 0.880822  | 0.868114  | 0.756555  | 0.884225  | 0.704672  | 0.282706  | 0.298379  |       | 0.392335  | 0.597690  | 0.162564  |       | NEK           |
-| LTDB          | 0.510507  | 0.566359  |             | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  | 0.811737  | 0.835553  |       | 0.256447  | 0.409530  | 0.692355  |       | LTDB          |
-| MITDB         | 0.320425  | 0.159042  |             | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  | 0.606652  | 0.590892  |       | 0.053749  | 0.367125  | 0.548995  |       | MITDB         |
-| SED           | 0.040176  | 0.807209  |             | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  | 0.907086  | 0.895291  |       | 0.111105  | 0.253420  | 0.882987  |       | SED           |
-| Daphnet       | 0.519516  | 0.518905  |             | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  | 0.035690  | 0.039747  |       | 0.134804  | 0.253956  | 0.035185  |       | Daphnet       |
-| SWaT          | 0.103364  | 0.368230  |             | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  | 0.381310  | 0.111519  |       | 0.121168  | 0.113915  | 0.110850  |       | SWaT          |
-| Power         | 0.122294  | 0.076373  |             | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  | 0.510537  | 0.524166  |       | 0.090503  | 0.160858  | 0.166562  |       | Power         |
-| CATSv2        | 0.232252  | 0.105175  |             | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  | 0.230658  | 0.229268  |       | 0.063826  | 0.393045  | 0.354730  |       | CATSv2        |
-| **Insgesamt** | **0.521** | **0.484** |             | **0.545** | **0.461** | **0.395** | **0.467** | **0.358** | **0.411** | **0.465** |       | **0.158** | **0.393** | **0.399** |       | **Insgesamt** |
+| Datensatz     | POLY      | iForest   | Sub-iForest | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape    | kMeans    | OCSVM     | LOF       | Sub-LOF   | KNN       | KNNV2 | Datensatz     |
+| ------------- | --------- | --------- | ----------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ----- | ------------- |
+| SMD           | 0.482296  | 0.322146  |             | 0.423162  | 0.519965  | 0.503535  | 0.410939  | 0.453416  | 0.070547  | 0.092843  | 0.078384  | 0.137760  | 0.457631  | 0.063644  |       | SMD           |
+| YAHOO         | 0.518566  | 0.936245  |             | 0.568333  | 0.354527  | 0.351064  | 0.354507  | 0.348855  | 0.276917  | 0.477510  | 0.484099  | 0.304093  | 0.188491  | 0.322916  |       | YAHOO         |
+| Exathlon      | 0.847945  | 0.964836  |             | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  | 0.420845  | 0.618051  | 0.557891  | 0.240338  | 0.262478  | 0.562449  |       | Exathlon      |
+| NAB           | 0.478372  | 0.285635  |             | 0.474780  | 0.262268  | 0.238264  | 0.326918  | 0.181686  | 0.282421  | 0.272775  | 0.297149  | 0.183564  | 0.511944  | 0.219327  |       | NAB           |
+| OPPORTUNITY   | 0.630618  | 0.868003  |             | 0.966351  | 0.660160  | 0.741769  | 0.660151  | 0.567052  | 0.253277  | 0.255118  | 0.092515  | 0.152842  | 0.139082  | 0.257788  |       | OPPORTUNITY   |
+| WSD           | 0.457794  | 0.038526  |             | 0.067564  | 0.086910  | 0.206990  | 0.087346  | 0.100554  | 0.192884  | 0.293116  | 0.048826  | 0.073377  | 0.608260  | 0.142998  |       | WSD           |
+| SVDB          | 0.423050  | 0.314567  |             | 0.508621  | 0.424770  | 0.206479  | 0.436465  | 0.131672  | 0.804276  | 0.804472  | 0.597908  | 0.052218  | 0.359030  | 0.579059  |       | SVDB          |
+| SMAP          | 0.891481  | 0.487664  |             | 0.951739  | 0.947702  | 0.237156  | 0.951635  | 0.223192  | 0.861769  | 0.946525  | 0.795429  | 0.046142  | 0.599966  | 0.818737  |       | SMAP          |
+| IOPS          | 0.426245  | 0.267117  |             | 0.422834  | 0.341683  | 0.312286  | 0.380533  | 0.334417  | 0.090598  | 0.112229  | 0.081453  | 0.302989  | 0.258387  | 0.111561  |       | IOPS          |
+| TODS          | 0.437694  | 0.174752  |             | 0.342464  | 0.336685  | 0.331028  | 0.338275  | 0.263210  | 0.719779  | 0.689051  | 0.721308  | 0.198760  | 0.600606  | 0.773793  |       | TODS          |
+| MGAB          | 0.008269  | 0.004379  |             | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  | 0.069759  | 0.036645  | 0.007014  | 0.004639  | 0.634748  | 0.238613  |       | MGAB          |
+| MSL           | 0.653967  | 0.514630  |             | 0.492975  | 0.142125  | 0.326973  | 0.412021  | 0.309296  | 0.290049  | 0.405174  | 0.208802  | 0.327778  | 0.487796  | 0.303536  |       | MSL           |
+| NEK           | 0.628709  | 0.678337  |             | 0.880822  | 0.868114  | 0.756555  | 0.884225  | 0.704672  | 0.282706  | 0.298379  | 0.379838  | 0.392335  | 0.597690  | 0.162564  |       | NEK           |
+| LTDB          | 0.510507  | 0.566359  |             | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  | 0.811737  | 0.835553  | 0.692470  | 0.256447  | 0.409530  | 0.692355  |       | LTDB          |
+| MITDB         | 0.320425  | 0.159042  |             | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  | 0.606652  | 0.590892  | 0.351133  | 0.053749  | 0.367125  | 0.548995  |       | MITDB         |
+| SED           | 0.040176  | 0.807209  |             | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  | 0.907086  | 0.895291  | 0.164910  | 0.111105  | 0.253420  | 0.882987  |       | SED           |
+| Daphnet       | 0.519516  | 0.518905  |             | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  | 0.035690  | 0.039747  | 0.070139  | 0.134804  | 0.253956  | 0.035185  |       | Daphnet       |
+| SWaT          | 0.103364  | 0.368230  |             | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  | 0.381310  | 0.111519  | 0.159981  | 0.121168  | 0.113915  | 0.110850  |       | SWaT          |
+| Power         | 0.122294  | 0.076373  |             | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  | 0.510537  | 0.524166  | 0.225393  | 0.090503  | 0.160858  | 0.166562  |       | Power         |
+| CATSv2        | 0.232252  | 0.105175  |             | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  | 0.230658  | 0.229268  | 0.311384  | 0.063826  | 0.393045  | 0.354730  |       | CATSv2        |
+| **Insgesamt** | **0.521** | **0.484** |             | **0.545** | **0.461** | **0.395** | **0.467** | **0.358** | **0.411** | **0.465** | **0.354** | **0.158** | **0.393** | **0.399** |       | **Insgesamt** |
 
 # POLY:
 + Prozessor: CPU
@@ -249,10 +249,10 @@
 + Durchschnitt Gesamt:
 	+ Recall: 
 	+ Precision: 
-	+ Standard-F1:  (vgl. , , $\approx$  %)
-	+ Auc-Roc:  (vgl. , + , $\approx$  %)
-	+ Auc-PR:  (vgl. , +, $\approx$ %)
-	+ Vus-PR:  (vgl. , + , $\approx$  %)
+	+ Standard-F1:  (vgl. 0.22, , $\approx$  %)
+	+ Auc-Roc:  (vgl. 0.63, + , $\approx$  %)
+	+ Auc-PR:  (vgl. 0.16, +, $\approx$ %)
+	+ Vus-PR:  (vgl. 0.22, + , $\approx$  %)
 + Durchschnitt Punktanomalien:
 	+ Recall:
 	+ Precision:
@@ -272,14 +272,14 @@
 + Deutlich besser bei -anomalien
 + Beste erkannte Gruppe: 
 	+ nach AUC-PR:
-		+
-	+ nach VUS-PR:
 		+ 
+	+ nach VUS-PR:
+		+ (vgl. MGAB: 0.00)
 + Schlechteste erkannte Gruppe: 
 	+ nach AUC-PR: 
 		+ 
 	+ nach VUS-PR:
-		+ 
+		+ (vgl. TAO: 0.90)
 
 # Sub-PCA
 + Prozessor: CPU
@@ -567,7 +567,7 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 **TAO DATENSATZ**
 *Optimale Hyperparameter der Autoren:*
 + {'periodicity': 1}
-*Hyperparameter nach Tuning pro Datensatz V1:*
+*Hyperparameter nach Tuning pro Datensatz:*
 + {'periodicity': 1} ,257_TAO_id_1_Environment_tr_500_1st_3.csv
 + {'periodicity': 3}, 258_TAO_id_2_Environment_tr_500_1st_4.csv
 + {'periodicity': 2}, 259_TAO_id_3_Environment_tr_500_1st_7.csv
@@ -659,39 +659,65 @@ $\rightarrow$ Ergebnisse mit den optimalen Hyperparametern der Autoren noch schl
 
 **Evaluation:**
 + Durchschnitt Gesamt:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:  (vgl. 0.22)
-	+ Auc-Roc:  (vgl. 0.65)
-	+ Auc-PR:  (vgl. 0.16)
-	+ Vus-PR:  (vgl. 0.23)
+	+ Recall: 0.155
+	+ Precision: 0.219
+	+ Standard-F1: 0.329 (vgl. 0.22, + 0.109, $\approx$ 49.5 %)
+	+ Auc-Roc: 0.773 (vgl. 0.65, + 0.123, $\approx$ 18.9 %)
+	+ Auc-PR: 0.275 (vgl. 0.16, + 0.115, $\approx$ 71.9 %)
+	+ Vus-PR: 0.339 (vgl. 0.23, + 0.109, $\approx$ 47.4 %)
 + Durchschnitt Punktanomalien:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:
-	+ Auc-Roc:
-	+ Auc-PR:
-	+ Vus-PR:
+	+ Recall: 0.068
+	+ Precision: 0.042
+	+ Standard-F1: 0.096
+	+ Auc-Roc: 0.781
+	+ Auc-PR: 0.049
+	+ Vus-PR: 0.362
 + Durchschnitt Sequenzanomalien:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:
-	+ Auc-Roc:
-	+ Auc-PR:
-	+ Vus-PR:
+	+ Recall: 0.083
+	+ Precision: 0.266
+	+ Standard-F1: 0.384
+	+ Auc-Roc: 0.755
+	+ Auc-PR: 0.335
+	+ Vus-PR: 0.354
 
 **Bemerkung:**
-+ Deutlich besser bei 
++ Deutlich besser bei Sequenzanomalien nach AUC-PR, nach VUS-PR relativ ähnlich tendenziell aber bei Punktanomalien mehr
++ Starke Unterschiede bei AUC-PR und VUS-PR in den Datensätzen Stock, TAO und TODS
++ Starke Abweichung der VUS-PR auf dem TAO Datensatz zw. Autoren und uns
 + Beste erkannte Gruppe: 
 	+ nach AUC-PR:
-		+ 
+		+ LTDB: 0.634659 (TAO: 0.117776)
 	+ nach VUS-PR:
-		+ (vgl. TAO 0.92)
+		+ TODS 0.748147 (vgl. 0.65; LTDB: 0.692470, vgl. 0.33; TAO: 0.720442, vgl. TAO 0.92)
 + Schlechteste erkannte Gruppe: 
 	+ nach AUC-PR: 
-		+ 
+		+ MGAB: 0.032883
 	+ nach VUS-PR:
-		+  (vgl. MGAB 0.01)
+		+ MGAB: 0.007014 (vgl. MGAB 0.01)
+
+**TAO DATENSATZ**
+*Optimale Hyperparameter der Autoren:*
++ {'periodicity': 2, 'kernel': 'rbf'}
+*Hyperparameter nach Tuning pro Datensatz:*
++ {'periodicity': 1, 'kernel': 'poly'} ,257_TAO_id_1_Environment_tr_500_1st_3.csv
++ {'periodicity': 2, 'kernel': 'rbf'}, 258_TAO_id_2_Environment_tr_500_1st_4.csv
++ {'periodicity': 1, 'kernel': 'sigmoid'}, 259_TAO_id_3_Environment_tr_500_1st_7.csv
+
+**Ergebnisse mit optimalen Hyperparametern der Autoren:**	
++ Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, 
+	+ AUC-PR: 0.12245353442042406
+	+ VUS-PR: 0.904907986376071
++ Datei: 258_TAO_id_2_Environment_tr_500_1st_4.csv, 
+	+ AUC-PR: 0.15662321342792412
+	+ VUS-PR: 0.9449252771845215
++ Datei: 259_TAO_id_3_Environment_tr_500_1st_7.csv, 
+	+ AUC-PR: 0.054974065991650625
+	+ VUS-PR: 0.34755231499773087
++ Durchschnittlicher AUC-PR: 0.1113502712799996
++ Durchschnittlicher VUS-PR: 0.7324618595194411
+
+$\rightarrow$ Ergebnisse mit den optimalen Hyperparametern dezent besser, allerdings nah an unseren dran. Die großen Unterschiede zu den Ergebnissen der Autoren bestehen weiterhin!
+
 # LOF
 + Prozessor: CPU
 	+ Modell: iCore 5 8th
diff --git a/docs/evaluation/groupedDataframes/AUC-PR_combined_by_group.csv b/docs/evaluation/groupedDataframes/AUC-PR_combined_by_group.csv
index 7bcdde6..052e8eb 100644
--- a/docs/evaluation/groupedDataframes/AUC-PR_combined_by_group.csv
+++ b/docs/evaluation/groupedDataframes/AUC-PR_combined_by_group.csv
@@ -1,12 +1,14 @@
-,Model,IOPS,SWaT,SED,MSL,SVDB,MGAB,LTDB,SMAP,Daphnet,Stock,WSD,MITDB,UCR,Power,NEK,CATSv2,NAB,Exathlon,TAO,OPPORTUNITY,TODS,SMD,YAHOO
-0,CNN,0.2658893118021881,0.7387181088941073,0.029325049402745367,0.30703296485567955,0.19710262016040547,0.003854961812131611,0.3544623948216704,0.3299309288297937,0.3814990500329981,0.9293442608636605,0.30312825425966844,0.1601528087440646,0.06947703302366708,0.0723996101568745,0.6855731430154801,0.4118939698305733,0.22334685517173777,0.6543096941901486,0.9948566473921369,0.6191602168303323,0.3037856723254471,0.565369591802724,0.5615618691240216
-0,IForest,0.23156929513103078,0.7024320276028485,0.691483898843896,0.38608540888302983,0.3119364827416871,0.004336120023749678,0.5213405915521423,0.2993019518138772,0.4965785621747466,0.14393995693030376,0.04099291102913815,0.16955657029296148,0.059389091972092405,0.0739812238848341,0.630339411513941,0.1394155160045949,0.3145868144981536,0.9628064611603744,0.12581675403237186,0.7331529032690003,0.07652134064844376,0.36923736187055917,0.09272991506414939
-0,KMeansAD_U,0.06871545205888992,0.1111516911833987,0.7105752596393731,0.37143817671367996,0.8090356381810129,0.08529855686124818,0.7658193255633926,0.6489127043129476,0.0364448974253113,0.11447566194398832,0.14637226924693936,0.5838081485697818,0.48720584604063366,0.507629476682699,0.3469725689956081,0.4556114877404176,0.401504819120054,0.617689617530909,0.12914709845456196,0.3653810197119157,0.4487028103262184,0.2609082130751905,0.6994439310340633
-0,LOF,0.11678669465120142,0.1206834698967151,0.08219767855332698,0.15122846324983763,0.04493994647519603,0.002208833983716011,0.20324070530989097,0.18079700554505512,0.129509098249193,0.11206072684081272,0.14191760711722487,0.05162771249827228,0.0489848149626439,0.0862447643103002,0.36356090912215866,0.0715421233322276,0.1448442788333725,0.2451059410575724,0.1679948274250915,0.15339581045465292,0.10081987259876368,0.18235312998281822,0.4099090939695364
-0,LSTMAD,0.3201945495278017,0.7376946947277406,0.030497343412870064,0.23744155439224032,0.12987864790676196,0.04585981775047413,0.27673530608030433,0.2788270775280182,0.1322337577607795,0.5192324559661586,0.20949249626949865,0.11306591669413261,0.028041338054278185,0.0647879297198734,0.6674208880035603,0.3580709697520762,0.1533056834456119,0.733874544363356,0.9933974763498682,0.5455348153510139,0.20567074108559213,0.5398904963082672,0.4439573166657559
-0,OmniAnomaly,0.36816289562529086,0.7576872065528726,0.031663480582993765,0.39428271688844074,0.4768352264302811,0.015268247817355054,0.4797110125580823,0.38508194752955704,0.1920691814960085,0.13364632394088924,0.251057174157317,0.20699912890412075,0.08523551844806315,0.0646648482156372,0.8361454306772048,0.4378677976960084,0.3322271540944519,0.8745189065767695,0.344060221602637,0.6498671005600911,0.17236897672776852,0.5311401685436009,0.1481883731109026
-0,PCA,0.3728494779469234,0.7567001273773122,0.0209941892398622,0.4933200185137532,0.5588963799777975,0.027122742026965137,0.4894113142147856,0.4844163013142009,0.468647067072471,0.14842805522832,0.21654161409334477,0.3778533754675271,0.1385328677464032,0.0788664308035282,0.891733187275396,0.4747050350102691,0.48652829694101696,0.9581020113822701,0.1491442049585928,0.9231919377778752,0.12432056705472291,0.4958507799477434,0.1171068241297201
-0,POLY,0.3328661662243327,0.1231331999424481,0.03142142379603057,0.629532587636957,0.50600229760421,0.008995606099947298,0.4553236691053208,0.6048262003837879,0.5368267899294596,0.14659009081554358,0.42738732029834203,0.3669341487796059,0.15685006774098753,0.2037595305274893,0.7094581583655936,0.4764337820823609,0.5264388130929107,0.844512912662751,0.1405259120954581,0.4206576520060393,0.2390237154249407,0.6393941543831635,0.0753954175292419
-0,Sub-LOF,0.26349163914256646,0.1135633808365225,0.10965998852146776,0.4426697426987531,0.35614017676232956,0.5673347974410752,0.33316020067643426,0.5103409692815175,0.2522823807762812,0.1150331890223664,0.5392539833042346,0.38519489390955175,0.4951819333128137,0.1750346138359664,0.5545055713305032,0.5119762791999092,0.495380602802276,0.2576177402577311,0.13980310215956185,0.1586532880262183,0.16650708100479605,0.4863069423901577,0.15050272371074025
-0,Sub_KNN,0.07059816232194295,0.1103758314980202,0.7074528685504887,0.313525013097462,0.5382699167825771,0.32564999100566705,0.5898283428336337,0.4538159096946783,0.0338932937578225,0.0961032782898458,0.044597067463582274,0.500833656234517,0.2838297601145142,0.1601672827617932,0.11917378259905748,0.4821662398986781,0.31109955913147375,0.563481394957596,0.10873282764385776,0.2983959722264093,0.41064853826364733,0.16297042908781798,0.14444537624494838
-0,USAD,0.40352305115361864,0.7574841555865873,0.026230704465697034,0.26725560751582494,0.4592092425862558,0.032096908715701186,0.4613347441601701,0.27315882208579156,0.1920565328650643,0.13357031995417967,0.2402758256128196,0.20180998220768165,0.08839193854672213,0.0646645958264565,0.8160210681956586,0.4816245755217306,0.30030480702906,0.8623584859187469,0.3397807769750269,0.651234598743209,0.1639152198541356,0.6657365297403594,0.11726577742217488
+,Model,MSL,TAO,Stock,SWaT,MITDB,YAHOO,OPPORTUNITY,SMAP,NAB,MGAB,UCR,TODS,Daphnet,LTDB,SVDB,Exathlon,NEK,WSD,Power,SMD,SED,IOPS,CATSv2
+0,CNN,0.30703296485567955,0.9948566473921369,0.9293442608636605,0.7387181088941073,0.1601528087440646,0.5615618691240216,0.6191602168303323,0.3299309288297937,0.22334685517173777,0.003854961812131611,0.06947703302366708,0.3037856723254471,0.3814990500329981,0.3544623948216704,0.19710262016040547,0.6543096941901486,0.6855731430154801,0.30312825425966844,0.0723996101568745,0.565369591802724,0.029325049402745367,0.2658893118021881,0.4118939698305733
+0,IForest,0.38608540888302983,0.12581675403237186,0.14393995693030376,0.7024320276028485,0.16955657029296148,0.09272991506414939,0.7331529032690003,0.2993019518138772,0.3145868144981536,0.004336120023749678,0.059389091972092405,0.07652134064844376,0.4965785621747466,0.5213405915521423,0.3119364827416871,0.9628064611603744,0.630339411513941,0.04099291102913815,0.0739812238848341,0.36923736187055917,0.691483898843896,0.23156929513103078,0.1394155160045949
+0,KMeansAD_U,0.37143817671367996,0.12914709845456196,0.11447566194398832,0.1111516911833987,0.5838081485697818,0.6994439310340633,0.3653810197119157,0.6489127043129476,0.401504819120054,0.08529855686124818,0.48720584604063366,0.4487028103262184,0.0364448974253113,0.7658193255633926,0.8090356381810129,0.617689617530909,0.3469725689956081,0.14637226924693936,0.507629476682699,0.2609082130751905,0.7105752596393731,0.06871545205888992,0.4556114877404176
+0,KShapeAD,0.40983458341045614,0.10383357700047093,0.09533344926608749,0.4588962370959195,0.5944243321733781,0.43547286866844387,0.3668662455072134,0.6012318549166439,0.39663547217871786,0.08441091283436257,0.4651436300597012,0.4620565073734955,0.0334203029926677,0.743642233080316,0.7987601317524428,0.4209898037288545,0.379152831656722,0.08263910436152828,0.4962499459971852,0.1312497937580047,0.7220200940353262,0.06836466700640197,0.4523772176145589
+0,LOF,0.15122846324983763,0.1679948274250915,0.11206072684081272,0.1206834698967151,0.05162771249827228,0.4099090939695364,0.15339581045465292,0.18079700554505512,0.1448442788333725,0.002208833983716011,0.0489848149626439,0.10081987259876368,0.129509098249193,0.20324070530989097,0.04493994647519603,0.2451059410575724,0.36356090912215866,0.14191760711722487,0.0862447643103002,0.18235312998281822,0.08219767855332698,0.11678669465120142,0.0715421233322276
+0,LSTMAD,0.23744155439224032,0.9933974763498682,0.5192324559661586,0.7376946947277406,0.11306591669413261,0.4439573166657559,0.5455348153510139,0.2788270775280182,0.1533056834456119,0.04585981775047413,0.028041338054278185,0.20567074108559213,0.1322337577607795,0.27673530608030433,0.12987864790676196,0.733874544363356,0.6674208880035603,0.20949249626949865,0.0647879297198734,0.5398904963082672,0.030497343412870064,0.3201945495278017,0.3580709697520762
+0,OCSVM,0.23912498135418594,0.11777589306040163,0.09734473830824779,0.1595147595176652,0.3558257944021178,0.08386789469016023,0.14763128658980523,0.4876513160129897,0.34385444621125993,0.032882956192712046,0.32698862284249836,0.4040433468785402,0.0665123825532765,0.6346588524029689,0.547079704362148,0.556785954052248,0.3601307804647232,0.03612775328429673,0.2159361837395415,0.12219233164852585,0.18785019182598386,0.05120724608119524,0.3690800520887407
+0,OmniAnomaly,0.39428271688844074,0.344060221602637,0.13364632394088924,0.7576872065528726,0.20699912890412075,0.1481883731109026,0.6498671005600911,0.38508194752955704,0.3322271540944519,0.015268247817355054,0.08523551844806315,0.17236897672776852,0.1920691814960085,0.4797110125580823,0.4768352264302811,0.8745189065767695,0.8361454306772048,0.251057174157317,0.0646648482156372,0.5311401685436009,0.031663480582993765,0.36816289562529086,0.4378677976960084
+0,PCA,0.4933200185137532,0.1491442049585928,0.14842805522832,0.7567001273773122,0.3778533754675271,0.1171068241297201,0.9231919377778752,0.4844163013142009,0.48652829694101696,0.027122742026965137,0.1385328677464032,0.12432056705472291,0.468647067072471,0.4894113142147856,0.5588963799777975,0.9581020113822701,0.891733187275396,0.21654161409334477,0.0788664308035282,0.4958507799477434,0.0209941892398622,0.3728494779469234,0.4747050350102691
+0,POLY,0.629532587636957,0.1405259120954581,0.14659009081554358,0.1231331999424481,0.3669341487796059,0.0753954175292419,0.4206576520060393,0.6048262003837879,0.5264388130929107,0.008995606099947298,0.15685006774098753,0.2390237154249407,0.5368267899294596,0.4553236691053208,0.50600229760421,0.844512912662751,0.7094581583655936,0.42738732029834203,0.2037595305274893,0.6393941543831635,0.03142142379603057,0.3328661662243327,0.4764337820823609
+0,Sub-LOF,0.4426697426987531,0.13980310215956185,0.1150331890223664,0.1135633808365225,0.38519489390955175,0.15050272371074025,0.1586532880262183,0.5103409692815175,0.495380602802276,0.5673347974410752,0.4951819333128137,0.16650708100479605,0.2522823807762812,0.33316020067643426,0.35614017676232956,0.2576177402577311,0.5545055713305032,0.5392539833042346,0.1750346138359664,0.4863069423901577,0.10965998852146776,0.26349163914256646,0.5119762791999092
+0,Sub_KNN,0.313525013097462,0.10873282764385776,0.0961032782898458,0.1103758314980202,0.500833656234517,0.14444537624494838,0.2983959722264093,0.4538159096946783,0.31109955913147375,0.32564999100566705,0.2838297601145142,0.41064853826364733,0.0338932937578225,0.5898283428336337,0.5382699167825771,0.563481394957596,0.11917378259905748,0.044597067463582274,0.1601672827617932,0.16297042908781798,0.7074528685504887,0.07059816232194295,0.4821662398986781
+0,USAD,0.26725560751582494,0.3397807769750269,0.13357031995417967,0.7574841555865873,0.20180998220768165,0.11726577742217488,0.651234598743209,0.27315882208579156,0.30030480702906,0.032096908715701186,0.08839193854672213,0.1639152198541356,0.1920565328650643,0.4613347441601701,0.4592092425862558,0.8623584859187469,0.8160210681956586,0.2402758256128196,0.0646645958264565,0.6657365297403594,0.026230704465697034,0.40352305115361864,0.4816245755217306
diff --git a/docs/evaluation/groupedDataframes/VUS-PR_combined_by_group.csv b/docs/evaluation/groupedDataframes/VUS-PR_combined_by_group.csv
index 4bc325d..9b212a4 100644
--- a/docs/evaluation/groupedDataframes/VUS-PR_combined_by_group.csv
+++ b/docs/evaluation/groupedDataframes/VUS-PR_combined_by_group.csv
@@ -1,12 +1,14 @@
-,Model,IOPS,SWaT,SED,MSL,SVDB,MGAB,LTDB,SMAP,Daphnet,Stock,WSD,MITDB,UCR,Power,NEK,CATSv2,NAB,Exathlon,TAO,OPPORTUNITY,TODS,SMD,YAHOO
-0,CNN,0.20582640755044848,0.6807482076261672,0.058416114173648566,0.34635004588200624,0.1997846992126922,0.0069880026447859105,0.40617143072486417,0.3368175788334636,0.3984561332333746,0.9399247021670545,0.22492161972936892,0.14363186026434818,0.06544275611727057,0.0754866098747693,0.7148450524753189,0.2882929464081713,0.24809064327969454,0.6577570780079647,0.9942696053962238,0.6327991152012451,0.575941184620618,0.5450449067296064,0.5120964005826543
-0,IForest,0.1345180317161169,0.3682300481513787,0.8072091746326211,0.4487088378075529,0.3073223626012233,0.004379386516480511,0.5663593089308047,0.32772652007428976,0.5189053892717354,0.7358859795437948,0.027486988072735103,0.15904247331707733,0.058772878606051945,0.0763734881882089,0.6497347597115171,0.105174922263832,0.3421369664041377,0.9648356800808771,0.7289704865874446,0.7362636520011094,0.48738632960300915,0.3424058241109849,0.13566389910342985
-0,KMeansAD_U,0.1079882871672322,0.1115190303707684,0.8952913367248847,0.4415431287006482,0.8113847695158117,0.03664497423359471,0.8355528232967653,0.6577379563617795,0.0397474048677725,0.7381976474065515,0.17306040829201394,0.5908924511486201,0.48682179418842214,0.5241664765771313,0.3179274541052912,0.2292684024148795,0.42747718824263387,0.6180514515785507,0.7479454637274009,0.3518276749123187,0.7392574120062714,0.2545373617228621,0.78182374346563
-0,LOF,0.12365662810007907,0.1211682396739051,0.11110536628014576,0.1867000262952127,0.05018881896775702,0.004638573553949167,0.25644727824547736,0.17249913092558428,0.1348036345450808,0.7104868086713348,0.1023455399207899,0.05374869341290776,0.05148903079187264,0.0905025385600026,0.39512958234640544,0.0638260310723236,0.16596623628732607,0.24033784675388556,0.7105835188005747,0.1591996538121128,0.4850789687207982,0.13498525799790392,0.3815083295900898
-0,LSTMAD,0.2130441268776781,0.669824054008361,0.056562170107036035,0.30512791043157395,0.12748852543364644,0.02541916388299069,0.32982840878783637,0.273213536450389,0.1330800298859931,0.8179595058481393,0.13026969854826323,0.11239751245844268,0.023292741312739982,0.0672501040011019,0.6896972412727194,0.3290558627970383,0.17373197532380166,0.735253231133451,0.9950444582863889,0.5637720546144361,0.5222277602405662,0.48394405976309657,0.4174161081456283
-0,OmniAnomaly,0.1928374569986444,0.366250384309729,0.055985189981857066,0.4280475527739124,0.445289118136039,0.005586448237557389,0.5247628039733387,0.4178519668986689,0.1230261153960334,0.7716583853918693,0.15761230831578144,0.16346484655995386,0.08955150737058691,0.0670900075295742,0.8583489172841368,0.2822817568231803,0.34200742217457203,0.8763722516375352,0.9300201627687462,0.6499305118412632,0.5381935047574228,0.47874214848138164,0.21978699689042347
-0,PCA,0.2603723461255518,0.3755116281521825,0.030269609217551566,0.5233099809194475,0.5239841979223827,0.005551113652017667,0.5348733977584581,0.5668421229644969,0.4415678196838903,0.8253823808338303,0.15536603262796655,0.32352578503655105,0.1526782948310656,0.0796163424706734,0.9291709818321476,0.2324174649783961,0.5113983091235315,0.9591725273812642,0.8402761677661017,0.9245164887480816,0.5528774654894228,0.4672566855173588,0.1637287767285993
-0,POLY,0.36505488384910495,0.1033636962969695,0.040175651318865566,0.7342443893083611,0.4455308354706224,0.008268735555270955,0.5105066913376546,0.7270794225766999,0.5195156603941771,0.8053753836898458,0.5311097529528253,0.3204245599085764,0.19877971115578724,0.1222940559336612,0.7648360444393737,0.232251680558134,0.58411151200798,0.8479450729850164,0.8084529309725733,0.4263263694845811,0.5864932357832445,0.6631912450676738,0.3076533188880135
-0,Sub-LOF,0.380816999613631,0.1139147000964346,0.25341982469633156,0.5447112510432905,0.38299993831393025,0.6347484664935239,0.4095296341228547,0.5978537468587533,0.2539555253290684,0.7475672197205663,0.5510409756112902,0.3671251716842331,0.5143263768552852,0.1608581709679401,0.6870198283873492,0.3930451961624531,0.5324501908617666,0.2624784786359157,0.8076936745400151,0.1495480597705363,0.691124998860781,0.5446962631623808,0.4510005840593197
-0,Sub_KNN,0.11652716789354169,0.1108500020039233,0.882987455118878,0.3687456862707051,0.5914836251513862,0.23861305462798313,0.6923549140356251,0.5582867850000348,0.0351848897952167,0.6915117129467715,0.08320386434254905,0.5489948037487509,0.32974766955827883,0.1665616569474886,0.13290842186836746,0.3547303318013108,0.3414322714780459,0.5624491502491966,0.6841191787952137,0.29539772741997733,0.7802797461321267,0.16380278316830532,0.5020311037216072
-0,USAD,0.19281537411048083,0.3659224082416971,0.053374299505158866,0.2952083391272381,0.435722376807082,0.005403198063337867,0.5122662584098864,0.3022119484350021,0.122991565905646,0.7716118184030186,0.15594955683658498,0.15835735364914574,0.08443712894111184,0.0670897271132299,0.8272831680533905,0.4068306405403881,0.30830310589567134,0.864300862495465,0.9289872260925759,0.6512690843155523,0.5298426171179035,0.6294041253579502,0.19236639692499613
+,Model,MSL,TAO,Stock,SWaT,MITDB,YAHOO,OPPORTUNITY,SMAP,NAB,MGAB,UCR,TODS,Daphnet,LTDB,SVDB,Exathlon,NEK,WSD,Power,SMD,SED,IOPS,CATSv2
+0,CNN,0.34635004588200624,0.9942696053962238,0.9399247021670545,0.6807482076261672,0.14363186026434818,0.5120964005826543,0.6327991152012451,0.3368175788334636,0.24809064327969454,0.0069880026447859105,0.06544275611727057,0.575941184620618,0.3984561332333746,0.40617143072486417,0.1997846992126922,0.6577570780079647,0.7148450524753189,0.22492161972936892,0.0754866098747693,0.5450449067296064,0.058416114173648566,0.20582640755044848,0.2882929464081713
+0,IForest,0.4487088378075529,0.7289704865874446,0.7358859795437948,0.3682300481513787,0.15904247331707733,0.13566389910342985,0.7362636520011094,0.32772652007428976,0.3421369664041377,0.004379386516480511,0.058772878606051945,0.48738632960300915,0.5189053892717354,0.5663593089308047,0.3073223626012233,0.9648356800808771,0.6497347597115171,0.027486988072735103,0.0763734881882089,0.3424058241109849,0.8072091746326211,0.1345180317161169,0.105174922263832
+0,KMeansAD_U,0.4415431287006482,0.7479454637274009,0.7381976474065515,0.1115190303707684,0.5908924511486201,0.78182374346563,0.3518276749123187,0.6577379563617795,0.42747718824263387,0.03664497423359471,0.48682179418842214,0.7392574120062714,0.0397474048677725,0.8355528232967653,0.8113847695158117,0.6180514515785507,0.3179274541052912,0.17306040829201394,0.5241664765771313,0.2545373617228621,0.8952913367248847,0.1079882871672322,0.2292684024148795
+0,KShapeAD,0.4590632382160882,0.7210035337760644,0.7178899544992573,0.3813104421265443,0.6066515369717891,0.4916698459350693,0.3478810419684873,0.6099054211885488,0.41504639680007926,0.06975936632139607,0.4601059040292457,0.7476064029264106,0.0356901722608826,0.8117365551261307,0.8109619409103364,0.42084463447845294,0.35781771240784127,0.11254129233785914,0.5105374329082776,0.12259336191894743,0.9070859017634768,0.06460916049370732,0.2306581659248519
+0,LOF,0.1867000262952127,0.7105835188005747,0.7104868086713348,0.1211682396739051,0.05374869341290776,0.3815083295900898,0.1591996538121128,0.17249913092558428,0.16596623628732607,0.004638573553949167,0.05148903079187264,0.4850789687207982,0.1348036345450808,0.25644727824547736,0.05018881896775702,0.24033784675388556,0.39512958234640544,0.1023455399207899,0.0905025385600026,0.13498525799790392,0.11110536628014576,0.12365662810007907,0.0638260310723236
+0,LSTMAD,0.30512791043157395,0.9950444582863889,0.8179595058481393,0.669824054008361,0.11239751245844268,0.4174161081456283,0.5637720546144361,0.273213536450389,0.17373197532380166,0.02541916388299069,0.023292741312739982,0.5222277602405662,0.1330800298859931,0.32982840878783637,0.12748852543364644,0.735253231133451,0.6896972412727194,0.13026969854826323,0.0672501040011019,0.48394405976309657,0.056562170107036035,0.2130441268776781,0.3290558627970383
+0,OCSVM,0.27692696600880706,0.7204415330029587,0.7173772009864774,0.1599810140732196,0.35113283798670825,0.30693205830151654,0.1489143952562089,0.5656177731239515,0.37663811821971843,0.007014053543410155,0.336356149911562,0.7481473031631273,0.0701389976338681,0.6924703331629415,0.5924675292497075,0.5578912704843039,0.3672605028423727,0.03999904262889158,0.2253927416249083,0.11590785827605281,0.16491010075541357,0.0676715989156669,0.3113843528453291
+0,OmniAnomaly,0.4280475527739124,0.9300201627687462,0.7716583853918693,0.366250384309729,0.16346484655995386,0.21978699689042347,0.6499305118412632,0.4178519668986689,0.34200742217457203,0.005586448237557389,0.08955150737058691,0.5381935047574228,0.1230261153960334,0.5247628039733387,0.445289118136039,0.8763722516375352,0.8583489172841368,0.15761230831578144,0.0670900075295742,0.47874214848138164,0.055985189981857066,0.1928374569986444,0.2822817568231803
+0,PCA,0.5233099809194475,0.8402761677661017,0.8253823808338303,0.3755116281521825,0.32352578503655105,0.1637287767285993,0.9245164887480816,0.5668421229644969,0.5113983091235315,0.005551113652017667,0.1526782948310656,0.5528774654894228,0.4415678196838903,0.5348733977584581,0.5239841979223827,0.9591725273812642,0.9291709818321476,0.15536603262796655,0.0796163424706734,0.4672566855173588,0.030269609217551566,0.2603723461255518,0.2324174649783961
+0,POLY,0.7342443893083611,0.8084529309725733,0.8053753836898458,0.1033636962969695,0.3204245599085764,0.3076533188880135,0.4263263694845811,0.7270794225766999,0.58411151200798,0.008268735555270955,0.19877971115578724,0.5864932357832445,0.5195156603941771,0.5105066913376546,0.4455308354706224,0.8479450729850164,0.7648360444393737,0.5311097529528253,0.1222940559336612,0.6631912450676738,0.040175651318865566,0.36505488384910495,0.232251680558134
+0,Sub-LOF,0.5447112510432905,0.8076936745400151,0.7475672197205663,0.1139147000964346,0.3671251716842331,0.4510005840593197,0.1495480597705363,0.5978537468587533,0.5324501908617666,0.6347484664935239,0.5143263768552852,0.691124998860781,0.2539555253290684,0.4095296341228547,0.38299993831393025,0.2624784786359157,0.6870198283873492,0.5510409756112902,0.1608581709679401,0.5446962631623808,0.25341982469633156,0.380816999613631,0.3930451961624531
+0,Sub_KNN,0.3687456862707051,0.6841191787952137,0.6915117129467715,0.1108500020039233,0.5489948037487509,0.5020311037216072,0.29539772741997733,0.5582867850000348,0.3414322714780459,0.23861305462798313,0.32974766955827883,0.7802797461321267,0.0351848897952167,0.6923549140356251,0.5914836251513862,0.5624491502491966,0.13290842186836746,0.08320386434254905,0.1665616569474886,0.16380278316830532,0.882987455118878,0.11652716789354169,0.3547303318013108
+0,USAD,0.2952083391272381,0.9289872260925759,0.7716118184030186,0.3659224082416971,0.15835735364914574,0.19236639692499613,0.6512690843155523,0.3022119484350021,0.30830310589567134,0.005403198063337867,0.08443712894111184,0.5298426171179035,0.122991565905646,0.5122662584098864,0.435722376807082,0.864300862495465,0.8272831680533905,0.15594955683658498,0.0670897271132299,0.6294041253579502,0.053374299505158866,0.19281537411048083,0.4068306405403881
diff --git a/src/group_evaluation/create_combined_dataframe_with_metrics_and_plot.ipynb b/src/group_evaluation/create_combined_dataframe_with_metrics_and_plot.ipynb
index 6b3894e..9b871ce 100644
--- a/src/group_evaluation/create_combined_dataframe_with_metrics_and_plot.ipynb
+++ b/src/group_evaluation/create_combined_dataframe_with_metrics_and_plot.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -24,11 +24,14 @@
       "Not correct file type:  groupedDataframes\n",
       "Found:  IForest.csv\n",
       "Found:  KMeansAD_U.csv\n",
+      "Found:  KShapeAD.csv\n",
       "Found:  LOF.csv\n",
       "Found:  LSTMAD.csv\n",
+      "Found:  OCSVM.csv\n",
       "Found:  OmniAnomaly.csv\n",
       "Found:  PCA.csv\n",
       "Found:  POLY.csv\n",
+      "Not correct file type:  Ranking der Modelle im Vergleich zu den Autoren.md\n",
       "Found:  Sub-LOF.csv\n",
       "Found:  Sub_KNN.csv\n",
       "Not correct file type:  temp\n",
@@ -63,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -254,7 +257,7 @@
        "4   0.232558   CNN  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -265,16 +268,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(4367, 18)"
+       "(5161, 18)"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -285,7 +288,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -295,8 +298,10 @@
        "CNN            397\n",
        "IForest        397\n",
        "KMeansAD_U     397\n",
+       "KShapeAD       397\n",
        "LOF            397\n",
        "LSTMAD         397\n",
+       "OCSVM          397\n",
        "OmniAnomaly    397\n",
        "PCA            397\n",
        "POLY           397\n",
@@ -306,7 +311,7 @@
        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -317,7 +322,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -340,7 +345,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -362,7358 +367,7358 @@
        "data": [
         {
          "alignmentgroup": "True",
-         "hovertemplate": "Model=%{x}<br>Recall=%{y}<extra></extra>",
-         "legendgroup": "Sub-LOF",
+         "hovertemplate": "Model=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "legendgroup": "KMeansAD_U",
          "marker": {
-          "color": "dodgerblue"
+          "color": "darkseagreen"
          },
-         "name": "Sub-LOF",
+         "name": "KMeansAD_U",
          "notched": false,
-         "offsetgroup": "Sub-LOF",
+         "offsetgroup": "KMeansAD_U",
          "orientation": "v",
          "showlegend": true,
          "type": "box",
          "x": [
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
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-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
-          "Sub-LOF",
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+          0.035834689215262,
+          0.1739645655459327,
+          0.2119774130127311,
+          0.0475967274462313,
+          0.1169471435482338,
+          0.1861908410007706,
+          0.0906015108034702,
+          0.1198688179952362,
+          0.0727703213254055,
+          0.0436832947797067,
+          0.0972830953606347,
+          0.3364618814836899,
+          0.0574455310738452,
+          0.1963228662955609,
+          0.3125578133145491,
+          0.2095486103998248,
+          0.2775602807609236,
+          0.0874355514085529,
+          0.2467092781377692,
+          0.1576792756615718,
+          0.1116993006586579,
+          0.1905156250476431,
+          0.122449960396874,
+          0.1695512968750395,
+          0.0806482836648526,
+          0.1072570183157936,
+          0.3590258032385338,
+          0.0754958959629854
          ],
          "y0": " ",
          "yaxis": "y"
@@ -9347,7 +10984,7 @@
          "font": {
           "color": "black",
           "family": "Courier",
-          "size": 12
+          "size": 14
          },
          "orientation": "h",
          "title": {
@@ -9357,8 +10994,8 @@
           "text": "Group"
          },
          "tracegroupgap": 0,
-         "x": 0.1,
-         "y": -0.1
+         "x": -0.05,
+         "y": -0.25
         },
         "margin": {
          "t": 60
@@ -9926,7 +11563,7 @@
          }
         },
         "title": {
-         "text": "Vergleich der Performanz der Modelle anhand Recall",
+         "text": "Vergleich der Performanz der Modelle anhand AUC-PR",
          "x": 0.5,
          "xanchor": "center",
          "y": 0.94,
@@ -9936,16 +11573,18 @@
         "xaxis": {
          "anchor": "y",
          "categoryarray": [
-          "Sub-LOF",
           "KMeansAD_U",
-          "Sub_KNN",
-          "POLY",
           "PCA",
+          "POLY",
+          "KShapeAD",
+          "Sub-LOF",
           "CNN",
           "OmniAnomaly",
           "USAD",
           "LSTMAD",
           "IForest",
+          "Sub_KNN",
+          "OCSVM",
           "LOF"
          ],
          "categoryorder": "array",
@@ -9954,7 +11593,7 @@
           1
          ],
          "dtick": 1,
-         "tickangle": 0,
+         "tickangle": -60,
          "title": {
           "text": "Model"
          }
@@ -9966,7 +11605,7 @@
           1
          ],
          "title": {
-          "text": "Recall"
+          "text": "AUC-PR"
          }
         }
        }
@@ -9977,19 +11616,19 @@
     }
    ],
    "source": [
-    "metric = 'Recall'#'VUS-PR'\n",
+    "metric = 'AUC-PR'#'Recall'#\n",
     "#sort by average values\n",
     "mean_sorted = df.groupby(\"Model\")[metric].mean().sort_values(ascending=False).index\n",
     "\n",
     "fig = px.box(df, x='Model', y=metric, color='Model', category_orders={'Model':mean_sorted}, color_discrete_map=colors)\n",
     "fig.update_layout( legend=dict(\n",
-    "    x=0.1,\n",
-    "    y=-0.1,\n",
+    "    x=-0.05,\n",
+    "    y=-0.25,\n",
     "    orientation=\"h\",\n",
     "    title_font_family=\"Times New Roman\",\n",
     "    font=dict(\n",
     "    family=\"Courier\",\n",
-    "    size=12,\n",
+    "    size=14,\n",
     "    color=\"black\"\n",
     "    ),\n",
     "    title_text='Group',\n",
@@ -10012,13 +11651,13 @@
     "                                    color='DarkSlateGrey'),\n",
     "                            ),\n",
     "            selector=dict(mode='markers'))\n",
-    "fig.update_xaxes( dtick = 1,tickangle = 360)\n",
+    "fig.update_xaxes( dtick = 1,tickangle = 300)\n",
     "fig.show()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -10194,6 +11833,32 @@
          ],
          "yaxis": "y"
         },
+        {
+         "alignmentgroup": "True",
+         "hovertemplate": "Model=%{x}<br>duration=%{y}<extra></extra>",
+         "legendgroup": "KShapeAD",
+         "marker": {
+          "color": "darksalmon",
+          "opacity": 0.8,
+          "pattern": {
+           "shape": ""
+          }
+         },
+         "name": "KShapeAD",
+         "offsetgroup": "KShapeAD",
+         "orientation": "v",
+         "showlegend": true,
+         "textposition": "auto",
+         "type": "bar",
+         "x": [
+          "KShapeAD"
+         ],
+         "xaxis": "x",
+         "y": [
+          32.13738634904626
+         ],
+         "yaxis": "y"
+        },
         {
          "alignmentgroup": "True",
          "hovertemplate": "Model=%{x}<br>duration=%{y}<extra></extra>",
@@ -10323,6 +11988,32 @@
           60.541785299027296
          ],
          "yaxis": "y"
+        },
+        {
+         "alignmentgroup": "True",
+         "hovertemplate": "Model=%{x}<br>duration=%{y}<extra></extra>",
+         "legendgroup": "OCSVM",
+         "marker": {
+          "color": "darkorange",
+          "opacity": 0.8,
+          "pattern": {
+           "shape": ""
+          }
+         },
+         "name": "OCSVM",
+         "offsetgroup": "OCSVM",
+         "orientation": "v",
+         "showlegend": true,
+         "textposition": "auto",
+         "type": "bar",
+         "x": [
+          "OCSVM"
+         ],
+         "xaxis": "x",
+         "y": [
+          104.21769456779326
+         ],
+         "yaxis": "y"
         }
        ],
        "layout": {
@@ -10335,7 +12026,7 @@
          "font": {
           "color": "black",
           "family": "Courier",
-          "size": 12
+          "size": 14
          },
          "orientation": "h",
          "title": {
@@ -10345,8 +12036,8 @@
           "text": "Group"
          },
          "tracegroupgap": 0,
-         "x": 0.02,
-         "y": -0.1
+         "x": -0.05,
+         "y": -0.25
         },
         "margin": {
          "t": 60
@@ -10930,11 +12621,13 @@
           "POLY",
           "OmniAnomaly",
           "IForest",
+          "KShapeAD",
           "LSTMAD",
           "PCA",
           "Sub-LOF",
           "KMeansAD_U",
-          "Sub_KNN"
+          "Sub_KNN",
+          "OCSVM"
          ],
          "categoryorder": "array",
          "domain": [
@@ -10942,7 +12635,7 @@
           1
          ],
          "dtick": 1,
-         "tickangle": 0,
+         "tickangle": -60,
          "title": {
           "text": "Model"
          }
@@ -10972,13 +12665,13 @@
     "\n",
     "fig = px.bar(df_mean, x='Model', y=duration, color='Model', category_orders={'Model':mean_sorted}, color_discrete_map=colors,opacity=0.8)\n",
     "fig.update_layout( legend=dict(\n",
-    "    x=0.02,\n",
-    "    y=-0.1,\n",
+    "    x=-0.05,\n",
+    "    y=-0.25,\n",
     "    orientation=\"h\",\n",
     "    title_font_family=\"Times New Roman\",\n",
     "    font=dict(\n",
     "    family=\"Courier\",\n",
-    "    size=12,\n",
+    "    size=14,\n",
     "    color=\"black\"\n",
     "    ),\n",
     "    title_text='Group',\n",
@@ -11001,7 +12694,7 @@
     "                                    color='DarkSlateGrey'),\n",
     "                            ),\n",
     "            selector=dict(mode='markers'))\n",
-    "fig.update_xaxes( dtick = 1,tickangle = 360)\n",
+    "fig.update_xaxes( dtick = 1,tickangle = 300)\n",
     "fig.update_yaxes( title='Durchschnittliche Laufzeit')\n",
     "fig.show()"
    ]
diff --git a/src/group_evaluation/create_heatmap.ipynb b/src/group_evaluation/create_heatmap.ipynb
index 6b470f6..c56f438 100644
--- a/src/group_evaluation/create_heatmap.ipynb
+++ b/src/group_evaluation/create_heatmap.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -36,27 +36,27 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>IOPS</th>\n",
-       "      <th>SWaT</th>\n",
-       "      <th>SED</th>\n",
        "      <th>MSL</th>\n",
-       "      <th>SVDB</th>\n",
-       "      <th>MGAB</th>\n",
-       "      <th>LTDB</th>\n",
-       "      <th>SMAP</th>\n",
-       "      <th>Daphnet</th>\n",
+       "      <th>TAO</th>\n",
        "      <th>Stock</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Power</th>\n",
-       "      <th>NEK</th>\n",
-       "      <th>CATSv2</th>\n",
+       "      <th>SWaT</th>\n",
+       "      <th>MITDB</th>\n",
+       "      <th>YAHOO</th>\n",
+       "      <th>OPPORTUNITY</th>\n",
+       "      <th>SMAP</th>\n",
        "      <th>NAB</th>\n",
+       "      <th>MGAB</th>\n",
+       "      <th>...</th>\n",
+       "      <th>LTDB</th>\n",
+       "      <th>SVDB</th>\n",
        "      <th>Exathlon</th>\n",
-       "      <th>TAO</th>\n",
-       "      <th>OPPORTUNITY</th>\n",
-       "      <th>TODS</th>\n",
+       "      <th>NEK</th>\n",
+       "      <th>WSD</th>\n",
+       "      <th>Power</th>\n",
        "      <th>SMD</th>\n",
-       "      <th>YAHOO</th>\n",
+       "      <th>SED</th>\n",
+       "      <th>IOPS</th>\n",
+       "      <th>CATSv2</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Model</th>\n",
@@ -86,123 +86,123 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>CNN</th>\n",
-       "      <td>0.205826</td>\n",
-       "      <td>0.680748</td>\n",
-       "      <td>0.058416</td>\n",
-       "      <td>0.346350</td>\n",
-       "      <td>0.199785</td>\n",
-       "      <td>0.006988</td>\n",
-       "      <td>0.406171</td>\n",
-       "      <td>0.336818</td>\n",
-       "      <td>0.398456</td>\n",
-       "      <td>0.939925</td>\n",
+       "      <td>0.307033</td>\n",
+       "      <td>0.994857</td>\n",
+       "      <td>0.929344</td>\n",
+       "      <td>0.738718</td>\n",
+       "      <td>0.160153</td>\n",
+       "      <td>0.561562</td>\n",
+       "      <td>0.619160</td>\n",
+       "      <td>0.329931</td>\n",
+       "      <td>0.223347</td>\n",
+       "      <td>0.003855</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.075487</td>\n",
-       "      <td>0.714845</td>\n",
-       "      <td>0.288293</td>\n",
-       "      <td>0.248091</td>\n",
-       "      <td>0.657757</td>\n",
-       "      <td>0.994270</td>\n",
-       "      <td>0.632799</td>\n",
-       "      <td>0.575941</td>\n",
-       "      <td>0.545045</td>\n",
-       "      <td>0.512096</td>\n",
+       "      <td>0.354462</td>\n",
+       "      <td>0.197103</td>\n",
+       "      <td>0.654310</td>\n",
+       "      <td>0.685573</td>\n",
+       "      <td>0.303128</td>\n",
+       "      <td>0.072400</td>\n",
+       "      <td>0.565370</td>\n",
+       "      <td>0.029325</td>\n",
+       "      <td>0.265889</td>\n",
+       "      <td>0.411894</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>IForest</th>\n",
-       "      <td>0.134518</td>\n",
-       "      <td>0.368230</td>\n",
-       "      <td>0.807209</td>\n",
-       "      <td>0.448709</td>\n",
-       "      <td>0.307322</td>\n",
-       "      <td>0.004379</td>\n",
-       "      <td>0.566359</td>\n",
-       "      <td>0.327727</td>\n",
-       "      <td>0.518905</td>\n",
-       "      <td>0.735886</td>\n",
+       "      <td>0.386085</td>\n",
+       "      <td>0.125817</td>\n",
+       "      <td>0.143940</td>\n",
+       "      <td>0.702432</td>\n",
+       "      <td>0.169557</td>\n",
+       "      <td>0.092730</td>\n",
+       "      <td>0.733153</td>\n",
+       "      <td>0.299302</td>\n",
+       "      <td>0.314587</td>\n",
+       "      <td>0.004336</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.076373</td>\n",
-       "      <td>0.649735</td>\n",
-       "      <td>0.105175</td>\n",
-       "      <td>0.342137</td>\n",
-       "      <td>0.964836</td>\n",
-       "      <td>0.728970</td>\n",
-       "      <td>0.736264</td>\n",
-       "      <td>0.487386</td>\n",
-       "      <td>0.342406</td>\n",
-       "      <td>0.135664</td>\n",
+       "      <td>0.521341</td>\n",
+       "      <td>0.311936</td>\n",
+       "      <td>0.962806</td>\n",
+       "      <td>0.630339</td>\n",
+       "      <td>0.040993</td>\n",
+       "      <td>0.073981</td>\n",
+       "      <td>0.369237</td>\n",
+       "      <td>0.691484</td>\n",
+       "      <td>0.231569</td>\n",
+       "      <td>0.139416</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>KMeansAD_U</th>\n",
-       "      <td>0.107988</td>\n",
-       "      <td>0.111519</td>\n",
-       "      <td>0.895291</td>\n",
-       "      <td>0.441543</td>\n",
-       "      <td>0.811385</td>\n",
-       "      <td>0.036645</td>\n",
-       "      <td>0.835553</td>\n",
-       "      <td>0.657738</td>\n",
-       "      <td>0.039747</td>\n",
-       "      <td>0.738198</td>\n",
+       "      <td>0.371438</td>\n",
+       "      <td>0.129147</td>\n",
+       "      <td>0.114476</td>\n",
+       "      <td>0.111152</td>\n",
+       "      <td>0.583808</td>\n",
+       "      <td>0.699444</td>\n",
+       "      <td>0.365381</td>\n",
+       "      <td>0.648913</td>\n",
+       "      <td>0.401505</td>\n",
+       "      <td>0.085299</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.524166</td>\n",
-       "      <td>0.317927</td>\n",
-       "      <td>0.229268</td>\n",
-       "      <td>0.427477</td>\n",
-       "      <td>0.618051</td>\n",
-       "      <td>0.747945</td>\n",
-       "      <td>0.351828</td>\n",
-       "      <td>0.739257</td>\n",
-       "      <td>0.254537</td>\n",
-       "      <td>0.781824</td>\n",
+       "      <td>0.765819</td>\n",
+       "      <td>0.809036</td>\n",
+       "      <td>0.617690</td>\n",
+       "      <td>0.346973</td>\n",
+       "      <td>0.146372</td>\n",
+       "      <td>0.507629</td>\n",
+       "      <td>0.260908</td>\n",
+       "      <td>0.710575</td>\n",
+       "      <td>0.068715</td>\n",
+       "      <td>0.455611</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>LOF</th>\n",
-       "      <td>0.123657</td>\n",
-       "      <td>0.121168</td>\n",
-       "      <td>0.111105</td>\n",
-       "      <td>0.186700</td>\n",
-       "      <td>0.050189</td>\n",
-       "      <td>0.004639</td>\n",
-       "      <td>0.256447</td>\n",
-       "      <td>0.172499</td>\n",
-       "      <td>0.134804</td>\n",
-       "      <td>0.710487</td>\n",
+       "      <th>KShapeAD</th>\n",
+       "      <td>0.409835</td>\n",
+       "      <td>0.103834</td>\n",
+       "      <td>0.095333</td>\n",
+       "      <td>0.458896</td>\n",
+       "      <td>0.594424</td>\n",
+       "      <td>0.435473</td>\n",
+       "      <td>0.366866</td>\n",
+       "      <td>0.601232</td>\n",
+       "      <td>0.396635</td>\n",
+       "      <td>0.084411</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.090503</td>\n",
-       "      <td>0.395130</td>\n",
-       "      <td>0.063826</td>\n",
-       "      <td>0.165966</td>\n",
-       "      <td>0.240338</td>\n",
-       "      <td>0.710584</td>\n",
-       "      <td>0.159200</td>\n",
-       "      <td>0.485079</td>\n",
-       "      <td>0.134985</td>\n",
-       "      <td>0.381508</td>\n",
+       "      <td>0.743642</td>\n",
+       "      <td>0.798760</td>\n",
+       "      <td>0.420990</td>\n",
+       "      <td>0.379153</td>\n",
+       "      <td>0.082639</td>\n",
+       "      <td>0.496250</td>\n",
+       "      <td>0.131250</td>\n",
+       "      <td>0.722020</td>\n",
+       "      <td>0.068365</td>\n",
+       "      <td>0.452377</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>LSTMAD</th>\n",
-       "      <td>0.213044</td>\n",
-       "      <td>0.669824</td>\n",
-       "      <td>0.056562</td>\n",
-       "      <td>0.305128</td>\n",
-       "      <td>0.127489</td>\n",
-       "      <td>0.025419</td>\n",
-       "      <td>0.329828</td>\n",
-       "      <td>0.273214</td>\n",
-       "      <td>0.133080</td>\n",
-       "      <td>0.817960</td>\n",
+       "      <th>LOF</th>\n",
+       "      <td>0.151228</td>\n",
+       "      <td>0.167995</td>\n",
+       "      <td>0.112061</td>\n",
+       "      <td>0.120683</td>\n",
+       "      <td>0.051628</td>\n",
+       "      <td>0.409909</td>\n",
+       "      <td>0.153396</td>\n",
+       "      <td>0.180797</td>\n",
+       "      <td>0.144844</td>\n",
+       "      <td>0.002209</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.067250</td>\n",
-       "      <td>0.689697</td>\n",
-       "      <td>0.329056</td>\n",
-       "      <td>0.173732</td>\n",
-       "      <td>0.735253</td>\n",
-       "      <td>0.995044</td>\n",
-       "      <td>0.563772</td>\n",
-       "      <td>0.522228</td>\n",
-       "      <td>0.483944</td>\n",
-       "      <td>0.417416</td>\n",
+       "      <td>0.203241</td>\n",
+       "      <td>0.044940</td>\n",
+       "      <td>0.245106</td>\n",
+       "      <td>0.363561</td>\n",
+       "      <td>0.141918</td>\n",
+       "      <td>0.086245</td>\n",
+       "      <td>0.182353</td>\n",
+       "      <td>0.082198</td>\n",
+       "      <td>0.116787</td>\n",
+       "      <td>0.071542</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -210,49 +210,49 @@
        "</div>"
       ],
       "text/plain": [
-       "                IOPS      SWaT       SED       MSL      SVDB      MGAB  \\\n",
+       "                 MSL       TAO     Stock      SWaT     MITDB     YAHOO  \\\n",
        "Model                                                                    \n",
-       "CNN         0.205826  0.680748  0.058416  0.346350  0.199785  0.006988   \n",
-       "IForest     0.134518  0.368230  0.807209  0.448709  0.307322  0.004379   \n",
-       "KMeansAD_U  0.107988  0.111519  0.895291  0.441543  0.811385  0.036645   \n",
-       "LOF         0.123657  0.121168  0.111105  0.186700  0.050189  0.004639   \n",
-       "LSTMAD      0.213044  0.669824  0.056562  0.305128  0.127489  0.025419   \n",
+       "CNN         0.307033  0.994857  0.929344  0.738718  0.160153  0.561562   \n",
+       "IForest     0.386085  0.125817  0.143940  0.702432  0.169557  0.092730   \n",
+       "KMeansAD_U  0.371438  0.129147  0.114476  0.111152  0.583808  0.699444   \n",
+       "KShapeAD    0.409835  0.103834  0.095333  0.458896  0.594424  0.435473   \n",
+       "LOF         0.151228  0.167995  0.112061  0.120683  0.051628  0.409909   \n",
        "\n",
-       "                LTDB      SMAP   Daphnet     Stock  ...     Power       NEK  \\\n",
-       "Model                                               ...                       \n",
-       "CNN         0.406171  0.336818  0.398456  0.939925  ...  0.075487  0.714845   \n",
-       "IForest     0.566359  0.327727  0.518905  0.735886  ...  0.076373  0.649735   \n",
-       "KMeansAD_U  0.835553  0.657738  0.039747  0.738198  ...  0.524166  0.317927   \n",
-       "LOF         0.256447  0.172499  0.134804  0.710487  ...  0.090503  0.395130   \n",
-       "LSTMAD      0.329828  0.273214  0.133080  0.817960  ...  0.067250  0.689697   \n",
+       "            OPPORTUNITY      SMAP       NAB      MGAB  ...      LTDB  \\\n",
+       "Model                                                  ...             \n",
+       "CNN            0.619160  0.329931  0.223347  0.003855  ...  0.354462   \n",
+       "IForest        0.733153  0.299302  0.314587  0.004336  ...  0.521341   \n",
+       "KMeansAD_U     0.365381  0.648913  0.401505  0.085299  ...  0.765819   \n",
+       "KShapeAD       0.366866  0.601232  0.396635  0.084411  ...  0.743642   \n",
+       "LOF            0.153396  0.180797  0.144844  0.002209  ...  0.203241   \n",
        "\n",
-       "              CATSv2       NAB  Exathlon       TAO  OPPORTUNITY      TODS  \\\n",
-       "Model                                                                       \n",
-       "CNN         0.288293  0.248091  0.657757  0.994270     0.632799  0.575941   \n",
-       "IForest     0.105175  0.342137  0.964836  0.728970     0.736264  0.487386   \n",
-       "KMeansAD_U  0.229268  0.427477  0.618051  0.747945     0.351828  0.739257   \n",
-       "LOF         0.063826  0.165966  0.240338  0.710584     0.159200  0.485079   \n",
-       "LSTMAD      0.329056  0.173732  0.735253  0.995044     0.563772  0.522228   \n",
+       "                SVDB  Exathlon       NEK       WSD     Power       SMD  \\\n",
+       "Model                                                                    \n",
+       "CNN         0.197103  0.654310  0.685573  0.303128  0.072400  0.565370   \n",
+       "IForest     0.311936  0.962806  0.630339  0.040993  0.073981  0.369237   \n",
+       "KMeansAD_U  0.809036  0.617690  0.346973  0.146372  0.507629  0.260908   \n",
+       "KShapeAD    0.798760  0.420990  0.379153  0.082639  0.496250  0.131250   \n",
+       "LOF         0.044940  0.245106  0.363561  0.141918  0.086245  0.182353   \n",
        "\n",
-       "                 SMD     YAHOO  \n",
-       "Model                           \n",
-       "CNN         0.545045  0.512096  \n",
-       "IForest     0.342406  0.135664  \n",
-       "KMeansAD_U  0.254537  0.781824  \n",
-       "LOF         0.134985  0.381508  \n",
-       "LSTMAD      0.483944  0.417416  \n",
+       "                 SED      IOPS    CATSv2  \n",
+       "Model                                     \n",
+       "CNN         0.029325  0.265889  0.411894  \n",
+       "IForest     0.691484  0.231569  0.139416  \n",
+       "KMeansAD_U  0.710575  0.068715  0.455611  \n",
+       "KShapeAD    0.722020  0.068365  0.452377  \n",
+       "LOF         0.082198  0.116787  0.071542  \n",
        "\n",
        "[5 rows x 23 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "path = '../../docs/evaluation/groupedDataframes/'\n",
-    "metric = 'VUS-PR'\n",
+    "metric = 'AUC-PR'\n",
     "file = metric +'_combined_by_group.csv'\n",
     "file_path = path + file\n",
     "df = pd.read_csv(file_path, index_col='Model')\n",
@@ -262,7 +262,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -313,36 +313,38 @@
          ],
          "type": "heatmap",
          "x": [
-          "IOPS",
-          "SWaT",
-          "SED",
           "MSL",
-          "SVDB",
-          "MGAB",
-          "LTDB",
-          "SMAP",
-          "Daphnet",
+          "TAO",
           "Stock",
-          "WSD",
+          "SWaT",
           "MITDB",
-          "UCR",
-          "Power",
-          "NEK",
-          "CATSv2",
-          "NAB",
-          "Exathlon",
-          "TAO",
+          "YAHOO",
           "OPPORTUNITY",
+          "SMAP",
+          "NAB",
+          "MGAB",
+          "UCR",
           "TODS",
+          "Daphnet",
+          "LTDB",
+          "SVDB",
+          "Exathlon",
+          "NEK",
+          "WSD",
+          "Power",
           "SMD",
-          "YAHOO"
+          "SED",
+          "IOPS",
+          "CATSv2"
          ],
          "y": [
           "CNN",
           "IForest",
           "KMeansAD_U",
+          "KShapeAD",
           "LOF",
           "LSTMAD",
+          "OCSVM",
           "OmniAnomaly",
           "PCA",
           "POLY",
@@ -352,279 +354,329 @@
          ],
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           ]
          ]
         }
@@ -1447,7 +1499,7 @@
          }
         },
         "title": {
-         "text": "Oranges Heatmap der VUS-PR von den einzelnen Modelle auf den jeweiligen Datensätzen"
+         "text": "Oranges Heatmap der AUC-PR von den einzelnen Modelle auf den jeweiligen Datensätzen"
         },
         "xaxis": {
          "title": {
diff --git a/src/group_evaluation/generate_combined_dataframe.ipynb b/src/group_evaluation/generate_combined_dataframe.ipynb
index 7e41157..7c63dba 100644
--- a/src/group_evaluation/generate_combined_dataframe.ipynb
+++ b/src/group_evaluation/generate_combined_dataframe.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,7 +25,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -50,26 +50,26 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Model</th>\n",
-       "      <th>IOPS</th>\n",
-       "      <th>SWaT</th>\n",
-       "      <th>SED</th>\n",
        "      <th>MSL</th>\n",
-       "      <th>SVDB</th>\n",
-       "      <th>MGAB</th>\n",
-       "      <th>LTDB</th>\n",
+       "      <th>TAO</th>\n",
+       "      <th>Stock</th>\n",
+       "      <th>SWaT</th>\n",
+       "      <th>MITDB</th>\n",
+       "      <th>YAHOO</th>\n",
+       "      <th>OPPORTUNITY</th>\n",
        "      <th>SMAP</th>\n",
-       "      <th>Daphnet</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Power</th>\n",
-       "      <th>NEK</th>\n",
-       "      <th>CATSv2</th>\n",
        "      <th>NAB</th>\n",
+       "      <th>...</th>\n",
+       "      <th>LTDB</th>\n",
+       "      <th>SVDB</th>\n",
        "      <th>Exathlon</th>\n",
-       "      <th>TAO</th>\n",
-       "      <th>OPPORTUNITY</th>\n",
-       "      <th>TODS</th>\n",
+       "      <th>NEK</th>\n",
+       "      <th>WSD</th>\n",
+       "      <th>Power</th>\n",
        "      <th>SMD</th>\n",
-       "      <th>YAHOO</th>\n",
+       "      <th>SED</th>\n",
+       "      <th>IOPS</th>\n",
+       "      <th>CATSv2</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -80,13 +80,13 @@
       ],
       "text/plain": [
        "Empty DataFrame\n",
-       "Columns: [Model, IOPS, SWaT, SED, MSL, SVDB, MGAB, LTDB, SMAP, Daphnet, Stock, WSD, MITDB, UCR, Power, NEK, CATSv2, NAB, Exathlon, TAO, OPPORTUNITY, TODS, SMD, YAHOO]\n",
+       "Columns: [Model, MSL, TAO, Stock, SWaT, MITDB, YAHOO, OPPORTUNITY, SMAP, NAB, MGAB, UCR, TODS, Daphnet, LTDB, SVDB, Exathlon, NEK, WSD, Power, SMD, SED, IOPS, CATSv2]\n",
        "Index: []\n",
        "\n",
        "[0 rows x 24 columns]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -101,7 +101,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -112,11 +112,14 @@
       "Not correct file type:  groupedDataframes\n",
       "Found:  IForest.csv\n",
       "Found:  KMeansAD_U.csv\n",
+      "Found:  KShapeAD.csv\n",
       "Found:  LOF.csv\n",
       "Found:  LSTMAD.csv\n",
+      "Found:  OCSVM.csv\n",
       "Found:  OmniAnomaly.csv\n",
       "Found:  PCA.csv\n",
       "Found:  POLY.csv\n",
+      "Not correct file type:  Ranking der Modelle im Vergleich zu den Autoren.md\n",
       "Found:  Sub-LOF.csv\n",
       "Found:  Sub_KNN.csv\n",
       "Not correct file type:  temp\n",
@@ -126,7 +129,7 @@
     }
    ],
    "source": [
-    "col = 'VUS-PR'\n",
+    "col = 'AUC-PR'\n",
     "\n",
     "for file in os.listdir(path):\n",
     "    suffix = file.split('.')\n",
@@ -158,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -183,148 +186,148 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Model</th>\n",
-       "      <th>IOPS</th>\n",
-       "      <th>SWaT</th>\n",
-       "      <th>SED</th>\n",
        "      <th>MSL</th>\n",
-       "      <th>SVDB</th>\n",
-       "      <th>MGAB</th>\n",
-       "      <th>LTDB</th>\n",
+       "      <th>TAO</th>\n",
+       "      <th>Stock</th>\n",
+       "      <th>SWaT</th>\n",
+       "      <th>MITDB</th>\n",
+       "      <th>YAHOO</th>\n",
+       "      <th>OPPORTUNITY</th>\n",
        "      <th>SMAP</th>\n",
-       "      <th>Daphnet</th>\n",
-       "      <th>...</th>\n",
-       "      <th>Power</th>\n",
-       "      <th>NEK</th>\n",
-       "      <th>CATSv2</th>\n",
        "      <th>NAB</th>\n",
+       "      <th>...</th>\n",
+       "      <th>LTDB</th>\n",
+       "      <th>SVDB</th>\n",
        "      <th>Exathlon</th>\n",
-       "      <th>TAO</th>\n",
-       "      <th>OPPORTUNITY</th>\n",
-       "      <th>TODS</th>\n",
+       "      <th>NEK</th>\n",
+       "      <th>WSD</th>\n",
+       "      <th>Power</th>\n",
        "      <th>SMD</th>\n",
-       "      <th>YAHOO</th>\n",
+       "      <th>SED</th>\n",
+       "      <th>IOPS</th>\n",
+       "      <th>CATSv2</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>CNN</td>\n",
-       "      <td>0.205826</td>\n",
-       "      <td>0.680748</td>\n",
-       "      <td>0.058416</td>\n",
-       "      <td>0.346350</td>\n",
-       "      <td>0.199785</td>\n",
-       "      <td>0.006988</td>\n",
-       "      <td>0.406171</td>\n",
-       "      <td>0.336818</td>\n",
-       "      <td>0.398456</td>\n",
+       "      <td>0.307033</td>\n",
+       "      <td>0.994857</td>\n",
+       "      <td>0.929344</td>\n",
+       "      <td>0.738718</td>\n",
+       "      <td>0.160153</td>\n",
+       "      <td>0.561562</td>\n",
+       "      <td>0.619160</td>\n",
+       "      <td>0.329931</td>\n",
+       "      <td>0.223347</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.075487</td>\n",
-       "      <td>0.714845</td>\n",
-       "      <td>0.288293</td>\n",
-       "      <td>0.248091</td>\n",
-       "      <td>0.657757</td>\n",
-       "      <td>0.994270</td>\n",
-       "      <td>0.632799</td>\n",
-       "      <td>0.575941</td>\n",
-       "      <td>0.545045</td>\n",
-       "      <td>0.512096</td>\n",
+       "      <td>0.354462</td>\n",
+       "      <td>0.197103</td>\n",
+       "      <td>0.654310</td>\n",
+       "      <td>0.685573</td>\n",
+       "      <td>0.303128</td>\n",
+       "      <td>0.072400</td>\n",
+       "      <td>0.565370</td>\n",
+       "      <td>0.029325</td>\n",
+       "      <td>0.265889</td>\n",
+       "      <td>0.411894</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>IForest</td>\n",
-       "      <td>0.134518</td>\n",
-       "      <td>0.368230</td>\n",
-       "      <td>0.807209</td>\n",
-       "      <td>0.448709</td>\n",
-       "      <td>0.307322</td>\n",
-       "      <td>0.004379</td>\n",
-       "      <td>0.566359</td>\n",
-       "      <td>0.327727</td>\n",
-       "      <td>0.518905</td>\n",
+       "      <td>0.386085</td>\n",
+       "      <td>0.125817</td>\n",
+       "      <td>0.143940</td>\n",
+       "      <td>0.702432</td>\n",
+       "      <td>0.169557</td>\n",
+       "      <td>0.092730</td>\n",
+       "      <td>0.733153</td>\n",
+       "      <td>0.299302</td>\n",
+       "      <td>0.314587</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.076373</td>\n",
-       "      <td>0.649735</td>\n",
-       "      <td>0.105175</td>\n",
-       "      <td>0.342137</td>\n",
-       "      <td>0.964836</td>\n",
-       "      <td>0.728970</td>\n",
-       "      <td>0.736264</td>\n",
-       "      <td>0.487386</td>\n",
-       "      <td>0.342406</td>\n",
-       "      <td>0.135664</td>\n",
+       "      <td>0.521341</td>\n",
+       "      <td>0.311936</td>\n",
+       "      <td>0.962806</td>\n",
+       "      <td>0.630339</td>\n",
+       "      <td>0.040993</td>\n",
+       "      <td>0.073981</td>\n",
+       "      <td>0.369237</td>\n",
+       "      <td>0.691484</td>\n",
+       "      <td>0.231569</td>\n",
+       "      <td>0.139416</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
        "      <td>KMeansAD_U</td>\n",
-       "      <td>0.107988</td>\n",
-       "      <td>0.111519</td>\n",
-       "      <td>0.895291</td>\n",
-       "      <td>0.441543</td>\n",
-       "      <td>0.811385</td>\n",
-       "      <td>0.036645</td>\n",
-       "      <td>0.835553</td>\n",
-       "      <td>0.657738</td>\n",
-       "      <td>0.039747</td>\n",
+       "      <td>0.371438</td>\n",
+       "      <td>0.129147</td>\n",
+       "      <td>0.114476</td>\n",
+       "      <td>0.111152</td>\n",
+       "      <td>0.583808</td>\n",
+       "      <td>0.699444</td>\n",
+       "      <td>0.365381</td>\n",
+       "      <td>0.648913</td>\n",
+       "      <td>0.401505</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.524166</td>\n",
-       "      <td>0.317927</td>\n",
-       "      <td>0.229268</td>\n",
-       "      <td>0.427477</td>\n",
-       "      <td>0.618051</td>\n",
-       "      <td>0.747945</td>\n",
-       "      <td>0.351828</td>\n",
-       "      <td>0.739257</td>\n",
-       "      <td>0.254537</td>\n",
-       "      <td>0.781824</td>\n",
+       "      <td>0.765819</td>\n",
+       "      <td>0.809036</td>\n",
+       "      <td>0.617690</td>\n",
+       "      <td>0.346973</td>\n",
+       "      <td>0.146372</td>\n",
+       "      <td>0.507629</td>\n",
+       "      <td>0.260908</td>\n",
+       "      <td>0.710575</td>\n",
+       "      <td>0.068715</td>\n",
+       "      <td>0.455611</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>LOF</td>\n",
-       "      <td>0.123657</td>\n",
-       "      <td>0.121168</td>\n",
-       "      <td>0.111105</td>\n",
-       "      <td>0.186700</td>\n",
-       "      <td>0.050189</td>\n",
-       "      <td>0.004639</td>\n",
-       "      <td>0.256447</td>\n",
-       "      <td>0.172499</td>\n",
-       "      <td>0.134804</td>\n",
+       "      <td>KShapeAD</td>\n",
+       "      <td>0.409835</td>\n",
+       "      <td>0.103834</td>\n",
+       "      <td>0.095333</td>\n",
+       "      <td>0.458896</td>\n",
+       "      <td>0.594424</td>\n",
+       "      <td>0.435473</td>\n",
+       "      <td>0.366866</td>\n",
+       "      <td>0.601232</td>\n",
+       "      <td>0.396635</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.090503</td>\n",
-       "      <td>0.395130</td>\n",
-       "      <td>0.063826</td>\n",
-       "      <td>0.165966</td>\n",
-       "      <td>0.240338</td>\n",
-       "      <td>0.710584</td>\n",
-       "      <td>0.159200</td>\n",
-       "      <td>0.485079</td>\n",
-       "      <td>0.134985</td>\n",
-       "      <td>0.381508</td>\n",
+       "      <td>0.743642</td>\n",
+       "      <td>0.798760</td>\n",
+       "      <td>0.420990</td>\n",
+       "      <td>0.379153</td>\n",
+       "      <td>0.082639</td>\n",
+       "      <td>0.496250</td>\n",
+       "      <td>0.131250</td>\n",
+       "      <td>0.722020</td>\n",
+       "      <td>0.068365</td>\n",
+       "      <td>0.452377</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>LSTMAD</td>\n",
-       "      <td>0.213044</td>\n",
-       "      <td>0.669824</td>\n",
-       "      <td>0.056562</td>\n",
-       "      <td>0.305128</td>\n",
-       "      <td>0.127489</td>\n",
-       "      <td>0.025419</td>\n",
-       "      <td>0.329828</td>\n",
-       "      <td>0.273214</td>\n",
-       "      <td>0.133080</td>\n",
+       "      <td>LOF</td>\n",
+       "      <td>0.151228</td>\n",
+       "      <td>0.167995</td>\n",
+       "      <td>0.112061</td>\n",
+       "      <td>0.120683</td>\n",
+       "      <td>0.051628</td>\n",
+       "      <td>0.409909</td>\n",
+       "      <td>0.153396</td>\n",
+       "      <td>0.180797</td>\n",
+       "      <td>0.144844</td>\n",
        "      <td>...</td>\n",
-       "      <td>0.067250</td>\n",
-       "      <td>0.689697</td>\n",
-       "      <td>0.329056</td>\n",
-       "      <td>0.173732</td>\n",
-       "      <td>0.735253</td>\n",
-       "      <td>0.995044</td>\n",
-       "      <td>0.563772</td>\n",
-       "      <td>0.522228</td>\n",
-       "      <td>0.483944</td>\n",
-       "      <td>0.417416</td>\n",
+       "      <td>0.203241</td>\n",
+       "      <td>0.044940</td>\n",
+       "      <td>0.245106</td>\n",
+       "      <td>0.363561</td>\n",
+       "      <td>0.141918</td>\n",
+       "      <td>0.086245</td>\n",
+       "      <td>0.182353</td>\n",
+       "      <td>0.082198</td>\n",
+       "      <td>0.116787</td>\n",
+       "      <td>0.071542</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -332,31 +335,31 @@
        "</div>"
       ],
       "text/plain": [
-       "        Model      IOPS      SWaT       SED       MSL      SVDB      MGAB  \\\n",
-       "0         CNN  0.205826  0.680748  0.058416  0.346350  0.199785  0.006988   \n",
-       "0     IForest  0.134518  0.368230  0.807209  0.448709  0.307322  0.004379   \n",
-       "0  KMeansAD_U  0.107988  0.111519  0.895291  0.441543  0.811385  0.036645   \n",
-       "0         LOF  0.123657  0.121168  0.111105  0.186700  0.050189  0.004639   \n",
-       "0      LSTMAD  0.213044  0.669824  0.056562  0.305128  0.127489  0.025419   \n",
+       "        Model       MSL       TAO     Stock      SWaT     MITDB     YAHOO  \\\n",
+       "0         CNN  0.307033  0.994857  0.929344  0.738718  0.160153  0.561562   \n",
+       "0     IForest  0.386085  0.125817  0.143940  0.702432  0.169557  0.092730   \n",
+       "0  KMeansAD_U  0.371438  0.129147  0.114476  0.111152  0.583808  0.699444   \n",
+       "0    KShapeAD  0.409835  0.103834  0.095333  0.458896  0.594424  0.435473   \n",
+       "0         LOF  0.151228  0.167995  0.112061  0.120683  0.051628  0.409909   \n",
        "\n",
-       "       LTDB      SMAP   Daphnet  ...     Power       NEK    CATSv2       NAB  \\\n",
-       "0  0.406171  0.336818  0.398456  ...  0.075487  0.714845  0.288293  0.248091   \n",
-       "0  0.566359  0.327727  0.518905  ...  0.076373  0.649735  0.105175  0.342137   \n",
-       "0  0.835553  0.657738  0.039747  ...  0.524166  0.317927  0.229268  0.427477   \n",
-       "0  0.256447  0.172499  0.134804  ...  0.090503  0.395130  0.063826  0.165966   \n",
-       "0  0.329828  0.273214  0.133080  ...  0.067250  0.689697  0.329056  0.173732   \n",
+       "   OPPORTUNITY      SMAP       NAB  ...      LTDB      SVDB  Exathlon  \\\n",
+       "0     0.619160  0.329931  0.223347  ...  0.354462  0.197103  0.654310   \n",
+       "0     0.733153  0.299302  0.314587  ...  0.521341  0.311936  0.962806   \n",
+       "0     0.365381  0.648913  0.401505  ...  0.765819  0.809036  0.617690   \n",
+       "0     0.366866  0.601232  0.396635  ...  0.743642  0.798760  0.420990   \n",
+       "0     0.153396  0.180797  0.144844  ...  0.203241  0.044940  0.245106   \n",
        "\n",
-       "   Exathlon       TAO  OPPORTUNITY      TODS       SMD     YAHOO  \n",
-       "0  0.657757  0.994270     0.632799  0.575941  0.545045  0.512096  \n",
-       "0  0.964836  0.728970     0.736264  0.487386  0.342406  0.135664  \n",
-       "0  0.618051  0.747945     0.351828  0.739257  0.254537  0.781824  \n",
-       "0  0.240338  0.710584     0.159200  0.485079  0.134985  0.381508  \n",
-       "0  0.735253  0.995044     0.563772  0.522228  0.483944  0.417416  \n",
+       "        NEK       WSD     Power       SMD       SED      IOPS    CATSv2  \n",
+       "0  0.685573  0.303128  0.072400  0.565370  0.029325  0.265889  0.411894  \n",
+       "0  0.630339  0.040993  0.073981  0.369237  0.691484  0.231569  0.139416  \n",
+       "0  0.346973  0.146372  0.507629  0.260908  0.710575  0.068715  0.455611  \n",
+       "0  0.379153  0.082639  0.496250  0.131250  0.722020  0.068365  0.452377  \n",
+       "0  0.363561  0.141918  0.086245  0.182353  0.082198  0.116787  0.071542  \n",
        "\n",
        "[5 rows x 24 columns]"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +370,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/src/models/desi/desi_evaluate_groups.ipynb b/src/models/desi/desi_evaluate_groups.ipynb
index debcaf0..7d34264 100644
--- a/src/models/desi/desi_evaluate_groups.ipynb
+++ b/src/models/desi/desi_evaluate_groups.ipynb
@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
@@ -59,146 +59,153 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 2, 'kernel': 'rbf'}</td>\n",
        "      <td>001_NAB_id_1_Facility_tr_1007_1st_2014.csv</td>\n",
-       "      <td>5.479764</td>\n",
+       "      <td>1.670064</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.171235</td>\n",
-       "      <td>0.622904</td>\n",
-       "      <td>0.156004</td>\n",
-       "      <td>0.610862</td>\n",
-       "      <td>0.223828</td>\n",
-       "      <td>0.871545</td>\n",
-       "      <td>0.679245</td>\n",
-       "      <td>0.246553</td>\n",
-       "      <td>0.719035</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.139487</td>\n",
+       "      <td>0.549979</td>\n",
+       "      <td>0.129207</td>\n",
+       "      <td>0.554000</td>\n",
+       "      <td>0.180031</td>\n",
+       "      <td>0.988473</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>0.299881</td>\n",
+       "      <td>0.870591</td>\n",
+       "      <td>0.03207</td>\n",
+       "      <td>0.611111</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 2, 'kernel': 'rbf'}</td>\n",
        "      <td>002_NAB_id_2_WebService_tr_1500_1st_4106.csv</td>\n",
-       "      <td>4.908555</td>\n",
+       "      <td>3.762166</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.127993</td>\n",
-       "      <td>0.542582</td>\n",
-       "      <td>0.131516</td>\n",
-       "      <td>0.559355</td>\n",
-       "      <td>0.203427</td>\n",
-       "      <td>0.996091</td>\n",
-       "      <td>0.369231</td>\n",
-       "      <td>0.400327</td>\n",
-       "      <td>0.734259</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.122769</td>\n",
+       "      <td>0.531865</td>\n",
+       "      <td>0.130022</td>\n",
+       "      <td>0.557598</td>\n",
+       "      <td>0.201978</td>\n",
+       "      <td>0.216814</td>\n",
+       "      <td>0.199095</td>\n",
+       "      <td>0.233291</td>\n",
+       "      <td>0.672758</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>{'periodicity': 3}</td>\n",
+       "      <td>{'periodicity': 1, 'kernel': 'rbf'}</td>\n",
        "      <td>003_NAB_id_3_WebService_tr_1362_1st_1462.csv</td>\n",
-       "      <td>8.295331</td>\n",
+       "      <td>8.578760</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.078955</td>\n",
-       "      <td>0.416574</td>\n",
-       "      <td>0.080216</td>\n",
-       "      <td>0.422209</td>\n",
+       "      <td>0.110890</td>\n",
+       "      <td>0.509784</td>\n",
+       "      <td>0.107358</td>\n",
+       "      <td>0.513948</td>\n",
        "      <td>0.175308</td>\n",
-       "      <td>0.723859</td>\n",
-       "      <td>0.175214</td>\n",
-       "      <td>0.269313</td>\n",
-       "      <td>0.671400</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.184004</td>\n",
+       "      <td>0.175893</td>\n",
+       "      <td>0.211018</td>\n",
+       "      <td>0.669765</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 3, 'kernel': 'rbf'}</td>\n",
        "      <td>004_NAB_id_4_Facility_tr_1007_1st_1437.csv</td>\n",
-       "      <td>2.563025</td>\n",
+       "      <td>1.934317</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.073780</td>\n",
-       "      <td>0.369817</td>\n",
-       "      <td>0.076946</td>\n",
-       "      <td>0.383963</td>\n",
-       "      <td>0.186259</td>\n",
-       "      <td>0.398612</td>\n",
-       "      <td>0.188907</td>\n",
-       "      <td>0.347752</td>\n",
-       "      <td>0.670988</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.324734</td>\n",
+       "      <td>0.668543</td>\n",
+       "      <td>0.329563</td>\n",
+       "      <td>0.687405</td>\n",
+       "      <td>0.397208</td>\n",
+       "      <td>0.996283</td>\n",
+       "      <td>0.869565</td>\n",
+       "      <td>0.275367</td>\n",
+       "      <td>0.948430</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 3, 'kernel': 'rbf'}</td>\n",
        "      <td>005_NAB_id_5_Traffic_tr_594_1st_1645.csv</td>\n",
-       "      <td>1.041672</td>\n",
+       "      <td>0.983028</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.062074</td>\n",
-       "      <td>0.176755</td>\n",
-       "      <td>0.064509</td>\n",
-       "      <td>0.178353</td>\n",
-       "      <td>0.209967</td>\n",
-       "      <td>0.214898</td>\n",
-       "      <td>0.209323</td>\n",
-       "      <td>0.329651</td>\n",
-       "      <td>0.671004</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.123734</td>\n",
+       "      <td>0.496138</td>\n",
+       "      <td>0.125226</td>\n",
+       "      <td>0.500474</td>\n",
+       "      <td>0.227087</td>\n",
+       "      <td>0.908397</td>\n",
+       "      <td>0.384615</td>\n",
+       "      <td>0.272977</td>\n",
+       "      <td>0.844777</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "               params                                     file_name  duration  \\\n",
-       "0  {'periodicity': 2}    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  5.479764   \n",
-       "1  {'periodicity': 2}  002_NAB_id_2_WebService_tr_1500_1st_4106.csv  4.908555   \n",
-       "2  {'periodicity': 3}  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  8.295331   \n",
-       "3  {'periodicity': 2}    004_NAB_id_4_Facility_tr_1007_1st_1437.csv  2.563025   \n",
-       "4  {'periodicity': 2}      005_NAB_id_5_Traffic_tr_594_1st_1645.csv  1.041672   \n",
+       "                                params  \\\n",
+       "0  {'periodicity': 2, 'kernel': 'rbf'}   \n",
+       "1  {'periodicity': 2, 'kernel': 'rbf'}   \n",
+       "2  {'periodicity': 1, 'kernel': 'rbf'}   \n",
+       "3  {'periodicity': 3, 'kernel': 'rbf'}   \n",
+       "4  {'periodicity': 3, 'kernel': 'rbf'}   \n",
        "\n",
-       "  group  point anomaly  seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  \\\n",
-       "0   NAB          False         True  0.171235  0.622904  0.156004  0.610862   \n",
-       "1   NAB          False        False  0.127993  0.542582  0.131516  0.559355   \n",
-       "2   NAB          False         True  0.078955  0.416574  0.080216  0.422209   \n",
-       "3   NAB          False        False  0.073780  0.369817  0.076946  0.383963   \n",
-       "4   NAB          False        False  0.062074  0.176755  0.064509  0.178353   \n",
+       "                                      file_name  duration group  \\\n",
+       "0    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  1.670064   NAB   \n",
+       "1  002_NAB_id_2_WebService_tr_1500_1st_4106.csv  3.762166   NAB   \n",
+       "2  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  8.578760   NAB   \n",
+       "3    004_NAB_id_4_Facility_tr_1007_1st_1437.csv  1.934317   NAB   \n",
+       "4      005_NAB_id_5_Traffic_tr_594_1st_1645.csv  0.983028   NAB   \n",
        "\n",
-       "   Standard-F1     PA-F1  Event-based-F1  R-based-F1  Affiliation-F  Recall  \\\n",
-       "0     0.223828  0.871545        0.679245    0.246553       0.719035     0.0   \n",
-       "1     0.203427  0.996091        0.369231    0.400327       0.734259     0.0   \n",
-       "2     0.175308  0.723859        0.175214    0.269313       0.671400     0.0   \n",
-       "3     0.186259  0.398612        0.188907    0.347752       0.670988     0.0   \n",
-       "4     0.209967  0.214898        0.209323    0.329651       0.671004     0.0   \n",
+       "   point anomaly  seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  \\\n",
+       "0          False         True  0.139487  0.549979  0.129207  0.554000   \n",
+       "1          False        False  0.122769  0.531865  0.130022  0.557598   \n",
+       "2          False         True  0.110890  0.509784  0.107358  0.513948   \n",
+       "3          False        False  0.324734  0.668543  0.329563  0.687405   \n",
+       "4          False        False  0.123734  0.496138  0.125226  0.500474   \n",
+       "\n",
+       "   Standard-F1     PA-F1  Event-based-F1  R-based-F1  Affiliation-F   Recall  \\\n",
+       "0     0.180031  0.988473        0.800000    0.299881       0.870591  0.03207   \n",
+       "1     0.201978  0.216814        0.199095    0.233291       0.672758  0.00000   \n",
+       "2     0.175308  0.184004        0.175893    0.211018       0.669765  0.00000   \n",
+       "3     0.397208  0.996283        0.869565    0.275367       0.948430  0.00000   \n",
+       "4     0.227087  0.908397        0.384615    0.272977       0.844777  0.00000   \n",
        "\n",
        "   Precision  \n",
-       "0        0.0  \n",
-       "1        0.0  \n",
-       "2        0.0  \n",
-       "3        0.0  \n",
-       "4        0.0  "
+       "0   0.611111  \n",
+       "1   0.000000  \n",
+       "2   0.000000  \n",
+       "3   0.000000  \n",
+       "4   0.000000  "
       ]
      },
-     "execution_count": 2,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "#Dataframe erstellen\n",
-    "model = 'KShapeAD'\n",
+    "model = 'OCSVM'\n",
     "path = '../../../docs/evaluation/'+model+'.csv'\n",
     "df = pd.read_csv(path)\n",
     "df.head()\n",
@@ -207,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
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        "Name: count, dtype: int64"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 32,
      "metadata": {},
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     }
@@ -251,7 +258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 33,
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    "source": [
@@ -291,7 +298,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 47,
    "metadata": {},
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+          0.3873166608236608,
+          0.0386740186908501,
+          0.2092057406735719,
+          0.1344917898818773,
+          0.1279774188203585,
+          0.4143188413517192,
+          0.0430059546997391,
+          0.274965316999585,
+          0.074058942325315,
+          0.0717243517419752,
+          0.1751721971427006,
+          0.0488767626342627,
+          0.0588182256910786,
+          0.055733642485731,
+          0.0759845682441006,
+          0.132475108429918,
+          0.0770027815570127
          ],
          "y0": " ",
          "yaxis": "y"
@@ -2630,7 +2637,7 @@
          }
         },
         "title": {
-         "text": "<b> Vergleich der Metriken zwischen den Gruppen für KShapeAD </b>",
+         "text": "<b> Vergleich der Metriken zwischen den Gruppen für OCSVM </b>",
          "xanchor": "center",
          "y": 0.95,
          "yanchor": "top"
@@ -2679,7 +2686,7 @@
           1
          ],
          "title": {
-          "text": "AUC-PR"
+          "text": "VUS-PR"
          }
         }
        }
@@ -2691,7 +2698,7 @@
    ],
    "source": [
     "#Boxplot\n",
-    "metric = 'AUC-PR'\n",
+    "metric = 'VUS-PR'\n",
     "fig = px.box(df, x = 'group',y=metric,  color='group',color_discrete_map= colors,hover_name=\"group\", hover_data=[\"group\"])\n",
     "fig.update_layout( \n",
     "        template = 'ggplot2',\n",
@@ -2722,7 +2729,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
@@ -2776,107 +2783,107 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 2, 'kernel': 'rbf'}</td>\n",
        "      <td>001_NAB_id_1_Facility_tr_1007_1st_2014.csv</td>\n",
-       "      <td>5.479764</td>\n",
+       "      <td>1.670064</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.171235</td>\n",
-       "      <td>0.622904</td>\n",
-       "      <td>0.156004</td>\n",
-       "      <td>0.610862</td>\n",
-       "      <td>0.223828</td>\n",
-       "      <td>0.871545</td>\n",
-       "      <td>0.679245</td>\n",
-       "      <td>0.246553</td>\n",
-       "      <td>0.719035</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
+       "      <td>0.139487</td>\n",
+       "      <td>0.549979</td>\n",
+       "      <td>0.129207</td>\n",
+       "      <td>0.554000</td>\n",
+       "      <td>0.180031</td>\n",
+       "      <td>0.988473</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>0.299881</td>\n",
+       "      <td>0.870591</td>\n",
+       "      <td>0.03207</td>\n",
+       "      <td>0.611111</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>{'periodicity': 3}</td>\n",
+       "      <td>{'periodicity': 1, 'kernel': 'rbf'}</td>\n",
        "      <td>003_NAB_id_3_WebService_tr_1362_1st_1462.csv</td>\n",
-       "      <td>8.295331</td>\n",
+       "      <td>8.578760</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.078955</td>\n",
-       "      <td>0.416574</td>\n",
-       "      <td>0.080216</td>\n",
-       "      <td>0.422209</td>\n",
+       "      <td>0.110890</td>\n",
+       "      <td>0.509784</td>\n",
+       "      <td>0.107358</td>\n",
+       "      <td>0.513948</td>\n",
        "      <td>0.175308</td>\n",
-       "      <td>0.723859</td>\n",
-       "      <td>0.175214</td>\n",
-       "      <td>0.269313</td>\n",
-       "      <td>0.671400</td>\n",
+       "      <td>0.184004</td>\n",
+       "      <td>0.175893</td>\n",
+       "      <td>0.211018</td>\n",
+       "      <td>0.669765</td>\n",
+       "      <td>0.00000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>{'periodicity': 3}</td>\n",
+       "      <td>{'periodicity': 1, 'kernel': 'poly'}</td>\n",
        "      <td>006_NAB_id_6_Traffic_tr_2579_1st_5839.csv</td>\n",
-       "      <td>6.932669</td>\n",
+       "      <td>6.128746</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.844872</td>\n",
-       "      <td>0.964931</td>\n",
-       "      <td>0.867664</td>\n",
-       "      <td>0.982314</td>\n",
-       "      <td>0.762540</td>\n",
-       "      <td>0.937216</td>\n",
-       "      <td>0.907008</td>\n",
-       "      <td>0.814333</td>\n",
-       "      <td>0.905203</td>\n",
-       "      <td>0.154369</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>0.290995</td>\n",
+       "      <td>0.682420</td>\n",
+       "      <td>0.321546</td>\n",
+       "      <td>0.736206</td>\n",
+       "      <td>0.298230</td>\n",
+       "      <td>0.879590</td>\n",
+       "      <td>0.776065</td>\n",
+       "      <td>0.296481</td>\n",
+       "      <td>0.834563</td>\n",
+       "      <td>0.00000</td>\n",
+       "      <td>0.000000</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>{'periodicity': 1}</td>\n",
+       "      <td>{'periodicity': 3, 'kernel': 'sigmoid'}</td>\n",
        "      <td>007_NAB_id_7_Traffic_tr_624_1st_2087.csv</td>\n",
-       "      <td>3.026761</td>\n",
+       "      <td>2.183970</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.164313</td>\n",
-       "      <td>0.649297</td>\n",
-       "      <td>0.280987</td>\n",
-       "      <td>0.731016</td>\n",
-       "      <td>0.258263</td>\n",
-       "      <td>0.745865</td>\n",
-       "      <td>0.380952</td>\n",
-       "      <td>0.525571</td>\n",
-       "      <td>0.730944</td>\n",
+       "      <td>0.147641</td>\n",
+       "      <td>0.587805</td>\n",
+       "      <td>0.180629</td>\n",
+       "      <td>0.684500</td>\n",
+       "      <td>0.222013</td>\n",
+       "      <td>0.990020</td>\n",
+       "      <td>0.444444</td>\n",
+       "      <td>0.313184</td>\n",
+       "      <td>0.850189</td>\n",
+       "      <td>0.00000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>{'periodicity': 2}</td>\n",
+       "      <td>{'periodicity': 1, 'kernel': 'rbf'}</td>\n",
        "      <td>010_NAB_id_10_WebService_tr_500_1st_271.csv</td>\n",
-       "      <td>1.673692</td>\n",
+       "      <td>1.792047</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.413914</td>\n",
-       "      <td>0.496511</td>\n",
-       "      <td>0.359138</td>\n",
-       "      <td>0.560205</td>\n",
-       "      <td>0.489792</td>\n",
-       "      <td>0.484848</td>\n",
-       "      <td>0.494845</td>\n",
-       "      <td>0.494845</td>\n",
-       "      <td>0.675674</td>\n",
+       "      <td>0.339656</td>\n",
+       "      <td>0.808955</td>\n",
+       "      <td>0.511266</td>\n",
+       "      <td>0.890510</td>\n",
+       "      <td>0.470793</td>\n",
+       "      <td>0.755102</td>\n",
+       "      <td>0.573770</td>\n",
+       "      <td>0.366489</td>\n",
+       "      <td>0.832721</td>\n",
+       "      <td>0.00000</td>\n",
        "      <td>0.000000</td>\n",
-       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2884,36 +2891,43 @@
        "</div>"
       ],
       "text/plain": [
-       "               params                                     file_name  duration  \\\n",
-       "0  {'periodicity': 2}    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  5.479764   \n",
-       "2  {'periodicity': 3}  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  8.295331   \n",
-       "5  {'periodicity': 3}     006_NAB_id_6_Traffic_tr_2579_1st_5839.csv  6.932669   \n",
-       "6  {'periodicity': 1}      007_NAB_id_7_Traffic_tr_624_1st_2087.csv  3.026761   \n",
-       "9  {'periodicity': 2}   010_NAB_id_10_WebService_tr_500_1st_271.csv  1.673692   \n",
+       "                                    params  \\\n",
+       "0      {'periodicity': 2, 'kernel': 'rbf'}   \n",
+       "2      {'periodicity': 1, 'kernel': 'rbf'}   \n",
+       "5     {'periodicity': 1, 'kernel': 'poly'}   \n",
+       "6  {'periodicity': 3, 'kernel': 'sigmoid'}   \n",
+       "9      {'periodicity': 1, 'kernel': 'rbf'}   \n",
+       "\n",
+       "                                      file_name  duration group point anomaly  \\\n",
+       "0    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  1.670064   NAB         False   \n",
+       "2  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  8.578760   NAB         False   \n",
+       "5     006_NAB_id_6_Traffic_tr_2579_1st_5839.csv  6.128746   NAB         False   \n",
+       "6      007_NAB_id_7_Traffic_tr_624_1st_2087.csv  2.183970   NAB         False   \n",
+       "9   010_NAB_id_10_WebService_tr_500_1st_271.csv  1.792047   NAB         False   \n",
        "\n",
-       "  group point anomaly seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  \\\n",
-       "0   NAB         False        True  0.171235  0.622904  0.156004  0.610862   \n",
-       "2   NAB         False        True  0.078955  0.416574  0.080216  0.422209   \n",
-       "5   NAB         False        True  0.844872  0.964931  0.867664  0.982314   \n",
-       "6   NAB         False        True  0.164313  0.649297  0.280987  0.731016   \n",
-       "9   NAB         False        True  0.413914  0.496511  0.359138  0.560205   \n",
+       "  seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1     PA-F1  \\\n",
+       "0        True  0.139487  0.549979  0.129207  0.554000     0.180031  0.988473   \n",
+       "2        True  0.110890  0.509784  0.107358  0.513948     0.175308  0.184004   \n",
+       "5        True  0.290995  0.682420  0.321546  0.736206     0.298230  0.879590   \n",
+       "6        True  0.147641  0.587805  0.180629  0.684500     0.222013  0.990020   \n",
+       "9        True  0.339656  0.808955  0.511266  0.890510     0.470793  0.755102   \n",
        "\n",
-       "   Standard-F1     PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
-       "0     0.223828  0.871545        0.679245    0.246553       0.719035  0.000000   \n",
-       "2     0.175308  0.723859        0.175214    0.269313       0.671400  0.000000   \n",
-       "5     0.762540  0.937216        0.907008    0.814333       0.905203  0.154369   \n",
-       "6     0.258263  0.745865        0.380952    0.525571       0.730944  0.000000   \n",
-       "9     0.489792  0.484848        0.494845    0.494845       0.675674  0.000000   \n",
+       "   Event-based-F1  R-based-F1  Affiliation-F   Recall  Precision  \\\n",
+       "0        0.800000    0.299881       0.870591  0.03207   0.611111   \n",
+       "2        0.175893    0.211018       0.669765  0.00000   0.000000   \n",
+       "5        0.776065    0.296481       0.834563  0.00000   0.000000   \n",
+       "6        0.444444    0.313184       0.850189  0.00000   0.000000   \n",
+       "9        0.573770    0.366489       0.832721  0.00000   0.000000   \n",
        "\n",
-       "   Precision           anomaly  \n",
-       "0        0.0  Sequenzeanomalie  \n",
-       "2        0.0  Sequenzeanomalie  \n",
-       "5        1.0  Sequenzeanomalie  \n",
-       "6        0.0  Sequenzeanomalie  \n",
-       "9        0.0  Sequenzeanomalie  "
+       "            anomaly  \n",
+       "0  Sequenzeanomalie  \n",
+       "2  Sequenzeanomalie  \n",
+       "5  Sequenzeanomalie  \n",
+       "6  Sequenzeanomalie  \n",
+       "9  Sequenzeanomalie  "
       ]
      },
-     "execution_count": 19,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2928,7 +2942,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -2988,7 +3002,7 @@
            "NAB"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "NAB",
           "NAB",
@@ -3030,18 +3044,18 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.1712348422234141,
-          0.0789554093695429,
-          0.8448721013149383,
-          0.1643133093288575,
-          0.4139142377604495,
-          0.6343432487173599,
-          0.100314997438485,
-          0.0626935274371929,
-          0.0989292543388991,
-          0.2124202620562435,
-          0.1230694768866554,
-          0.1174605970685635
+          0.1292072496284678,
+          0.1073576983442578,
+          0.3215459408637963,
+          0.1806288423462511,
+          0.5112663974848028,
+          0.7231785882949368,
+          0.17414099358733,
+          0.4808231601638217,
+          0.1312270472890565,
+          0.3201277578179863,
+          0.3823562425735545,
+          0.1039243752600688
          ],
          "y0": " ",
          "yaxis": "y"
@@ -3098,7 +3112,7 @@
            "WSD"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "WSD",
           "WSD",
@@ -3148,22 +3162,22 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.4348862741947762,
-          0.0072786051792892,
-          0.0020465926712742,
-          0.0001921277811436,
-          0.0834662530029794,
-          0.0061991739007884,
-          0.0020053363752814,
-          0.1192128272261476,
-          0.0085989440968323,
-          0.0152894468020548,
-          0.4406961973340506,
-          0.0549985033722748,
-          0.0116241455693966,
-          0.2465903973907245,
-          0.2023049769793997,
-          0.3797092325918696
+          0.0229763520567632,
+          0.037666217112104,
+          0.0099968899939866,
+          0.0024570298426776,
+          0.0316720375062317,
+          0.0343588820899651,
+          0.0961076916644369,
+          0.0417201115404397,
+          0.073119431861344,
+          0.0767033462327252,
+          0.0282146561333983,
+          0.0935462520470479,
+          0.0332059559852135,
+          0.0181424605670779,
+          0.0365117553586275,
+          0.0596138004605485
          ],
          "y0": " ",
          "yaxis": "y"
@@ -3181,7 +3195,7 @@
            "MSL"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "MSL",
           "MSL",
@@ -3205,9 +3219,9 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.2208742315494321,
-          0.2565381964504278,
-          0.1075420689922313
+          0.296626480136044,
+          0.2359898879353481,
+          0.0937889043310272
          ],
          "y0": " ",
          "yaxis": "y"
@@ -3246,7 +3260,7 @@
            "Stock"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "Stock",
           "Stock",
@@ -3284,16 +3298,16 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.0526347926958866,
-          0.0618658700544456,
-          0.1583384472261794,
-          0.055437436098787,
-          0.0506131535126924,
-          0.0578458419493768,
-          0.0493450471873438,
-          0.1509019416397851,
-          0.150226418280182,
-          0.1661255440161962
+          0.7486686118858309,
+          0.8821615428837951,
+          0.9098167761612456,
+          0.8928182313105654,
+          0.1551074439636654,
+          0.6392334244176398,
+          0.1912333094071469,
+          0.9278514447466232,
+          0.9720634119744124,
+          0.8548178131138489
          ],
          "y0": " ",
          "yaxis": "y"
@@ -3305,7 +3319,7 @@
            "Daphnet"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "Daphnet"
          ],
@@ -3325,7 +3339,7 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.0334203029926677
+          0.0701389976338681
          ],
          "y0": " ",
          "yaxis": "y"
@@ -3358,7 +3372,7 @@
            "MITDB"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
          "hovertext": [
           "MITDB",
           "MITDB",
@@ -3392,14 +3406,14 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.8554879783837588,
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+          0.0386740186908501,
+          0.1279774188203585,
+          0.074058942325315,
+          0.0717243517419752,
+          0.0588182256910786,
+          0.0759845682441006,
+          0.132475108429918,
+          0.0770027815570127
          ],
          "y0": " ",
          "yaxis": "y"
@@ -5400,7 +5414,7 @@
          }
         },
         "title": {
-         "text": "<b> Vergleich der Ergebnisse der Anomalien zwischen den Gruppen für KShapeAD </b>",
+         "text": "<b> Vergleich der Ergebnisse der Anomalien zwischen den Gruppen für OCSVM </b>",
          "xanchor": "center",
          "y": 0.95,
          "yanchor": "top"
@@ -5423,7 +5437,7 @@
           1
          ],
          "title": {
-          "text": "AUC-PR"
+          "text": "VUS-PR"
          }
         }
        }
@@ -5458,7 +5472,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
@@ -5467,81 +5481,81 @@
      "text": [
       "                duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
       "group                                                                           \n",
-      "CATSv2        236.819437  0.452377  0.724201  0.230658  0.696605     0.507399   \n",
-      "Daphnet        35.623369  0.033420  0.120788  0.035690  0.119038     0.114305   \n",
-      "Exathlon       30.996458  0.420990  0.704579  0.420845  0.705633     0.476715   \n",
-      "IOPS           55.233800  0.068365  0.547448  0.064609  0.518019     0.119151   \n",
-      "LTDB           93.477461  0.743642  0.864903  0.811737  0.883000     0.743372   \n",
-      "MGAB           36.636040  0.084411  0.693115  0.069759  0.687555     0.229185   \n",
-      "MITDB         443.862543  0.594424  0.947580  0.606652  0.961219     0.600204   \n",
-      "MSL             2.604013  0.409835  0.825987  0.459063  0.839459     0.504202   \n",
-      "NAB             7.395364  0.396635  0.660959  0.415046  0.674869     0.478648   \n",
-      "NEK             0.978331  0.379153  0.673130  0.357818  0.587360     0.478314   \n",
-      "OPPORTUNITY     7.531728  0.366866  0.757637  0.347881  0.734117     0.434931   \n",
-      "Power          17.223233  0.496250  0.737337  0.510537  0.760943     0.566831   \n",
-      "SED            11.265208  0.722020  0.989946  0.907086  0.996810     0.780849   \n",
-      "SMAP            4.100383  0.601232  0.767636  0.609905  0.778792     0.593002   \n",
-      "SMD            11.754587  0.131250  0.655848  0.122593  0.658158     0.186660   \n",
-      "SVDB           69.581790  0.798760  0.984325  0.810962  0.987226     0.764633   \n",
-      "SWaT         1051.773305  0.458896  0.799756  0.381310  0.756757     0.629526   \n",
-      "Stock          57.478806  0.095333  0.529748  0.717890  0.836341     0.159066   \n",
-      "TAO            29.975217  0.103834  0.517935  0.721004  0.825628     0.172782   \n",
-      "TODS            8.645978  0.462057  0.809107  0.747606  0.885093     0.492481   \n",
-      "UCR            17.042999  0.465144  0.889491  0.460106  0.897374     0.480275   \n",
-      "WSD             9.334371  0.082639  0.662574  0.112541  0.680839     0.128861   \n",
-      "YAHOO           1.173619  0.435473  0.746907  0.491670  0.765170     0.466854   \n",
+      "CATSv2        576.820577  0.369080  0.706380  0.311384  0.729282     0.426982   \n",
+      "Daphnet        27.302989  0.066512  0.507790  0.070139  0.523716     0.116764   \n",
+      "Exathlon       37.826101  0.556786  0.830684  0.557891  0.833418     0.577401   \n",
+      "IOPS           47.575929  0.051207  0.663177  0.067672  0.660286     0.109625   \n",
+      "LTDB          106.949586  0.634659  0.796257  0.692470  0.850891     0.638340   \n",
+      "MGAB          177.334281  0.032883  0.537176  0.007014  0.642782     0.084602   \n",
+      "MITDB        1624.883895  0.355826  0.856398  0.351133  0.897026     0.435382   \n",
+      "MSL             2.056389  0.239125  0.739126  0.276927  0.795165     0.362317   \n",
+      "NAB             2.769945  0.343854  0.666136  0.376638  0.709715     0.402922   \n",
+      "NEK             0.791268  0.360131  0.710666  0.367261  0.743413     0.432511   \n",
+      "OPPORTUNITY     7.374317  0.147631  0.661025  0.148914  0.667929     0.228057   \n",
+      "Power          51.094489  0.215936  0.652180  0.225393  0.677670     0.237451   \n",
+      "SED            14.702547  0.187850  0.610291  0.164910  0.722816     0.220954   \n",
+      "SMAP            2.776193  0.487651  0.861212  0.565618  0.876350     0.563891   \n",
+      "SMD            12.425167  0.122192  0.744937  0.115908  0.774569     0.182900   \n",
+      "SVDB          363.206067  0.547080  0.930221  0.592468  0.951451     0.598525   \n",
+      "SWaT         1210.999244  0.159515  0.518403  0.159981  0.520024     0.309398   \n",
+      "Stock         174.322859  0.097345  0.542291  0.717377  0.897425     0.170772   \n",
+      "TAO            54.669874  0.117776  0.577303  0.720442  0.912899     0.205507   \n",
+      "TODS            8.419030  0.404043  0.740680  0.748147  0.906301     0.437865   \n",
+      "UCR           151.752637  0.326989  0.853025  0.336356  0.877345     0.374480   \n",
+      "WSD             7.525696  0.036128  0.746600  0.039999  0.818527     0.074105   \n",
+      "YAHOO           0.962506  0.083868  0.877014  0.306932  0.936604     0.135211   \n",
       "\n",
       "                PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                        \n",
-      "CATSv2       0.626398        0.439105    0.170890       0.702560  0.300878   \n",
-      "Daphnet      0.128525        0.114273    0.396142       0.832210  0.000000   \n",
-      "Exathlon     0.909250        0.697865    0.443662       0.869385  0.012750   \n",
-      "IOPS         0.311225        0.106215    0.202900       0.736656  0.073274   \n",
-      "LTDB         0.860404        0.827142    0.731083       0.920124  0.097710   \n",
-      "MGAB         0.248686        0.229101    0.252603       0.739126  0.118095   \n",
-      "MITDB        0.699544        0.643637    0.647918       0.918732  0.373862   \n",
-      "MSL          0.650031        0.535044    0.532483       0.849117  0.145087   \n",
-      "NAB          0.766138        0.586103    0.525518       0.831252  0.050599   \n",
-      "NEK          0.615688        0.486707    0.522330       0.770504  0.001764   \n",
-      "OPPORTUNITY  0.860770        0.675563    0.377457       0.877531  0.021827   \n",
-      "Power        0.955110        0.863916    0.562924       0.957009  0.182667   \n",
-      "SED          0.882984        0.826164    0.808976       0.986410  0.655488   \n",
-      "SMAP         0.745946        0.722506    0.636957       0.907428  0.559008   \n",
-      "SMD          0.468453        0.288651    0.255678       0.771941  0.095875   \n",
-      "SVDB         0.878824        0.832142    0.697537       0.940637  0.659443   \n",
-      "SWaT         0.895086        0.433666    0.141600       0.705099  0.000000   \n",
-      "Stock        0.158497        0.158075    0.134519       0.667352  0.000479   \n",
-      "TAO          0.172423        0.172095    0.098197       0.679173  0.000000   \n",
-      "TODS         0.510765        0.327060    0.331376       0.747656  0.187118   \n",
-      "UCR          0.603514        0.540664    0.514970       0.885032  0.536193   \n",
-      "WSD          0.169441        0.143924    0.195417       0.756749  0.009756   \n",
-      "YAHOO        0.397359        0.388677    0.440259       0.854958  0.414790   \n",
+      "CATSv2       0.873839        0.709922    0.158695       0.727890  0.040811   \n",
+      "Daphnet      0.916632        0.178742    0.247652       0.770237  0.002168   \n",
+      "Exathlon     0.953952        0.831443    0.342542       0.906246  0.019985   \n",
+      "IOPS         0.447280        0.157321    0.185504       0.720738  0.075638   \n",
+      "LTDB         0.897274        0.799590    0.574608       0.892653  0.086590   \n",
+      "MGAB         0.218686        0.194577    0.099208       0.677589  0.000000   \n",
+      "MITDB        0.765995        0.550179    0.349144       0.861050  0.217145   \n",
+      "MSL          0.755050        0.478430    0.359768       0.831862  0.109275   \n",
+      "NAB          0.915571        0.751830    0.400021       0.895345  0.072529   \n",
+      "NEK          0.766319        0.617067    0.404298       0.844997  0.031221   \n",
+      "OPPORTUNITY  0.902061        0.400628    0.217145       0.773705  0.002064   \n",
+      "Power        1.000000        1.000000    0.352493       0.966658  0.000000   \n",
+      "SED          0.596144        0.588889    0.296696       0.784206  0.000000   \n",
+      "SMAP         0.745047        0.624615    0.539847       0.893603  0.546802   \n",
+      "SMD          0.682397        0.320169    0.208408       0.781595  0.069495   \n",
+      "SVDB         0.840533        0.747939    0.469409       0.909202  0.304473   \n",
+      "SWaT         0.764353        0.248020    0.108407       0.689201  0.000000   \n",
+      "Stock        0.162702        0.160067    0.183969       0.680238  0.000489   \n",
+      "TAO          0.204991        0.202438    0.209541       0.681314  0.000000   \n",
+      "TODS         0.514495        0.303923    0.229365       0.744793  0.149799   \n",
+      "UCR          0.705609        0.527446    0.361082       0.873885  0.371525   \n",
+      "WSD          0.245465        0.169022    0.095856       0.765850  0.018010   \n",
+      "YAHOO        0.161616        0.134211    0.125869       0.862998  0.108753   \n",
       "\n",
       "             Precision  \n",
       "group                   \n",
-      "CATSv2        0.997312  \n",
-      "Daphnet       0.000000  \n",
-      "Exathlon      0.164047  \n",
-      "IOPS          0.007659  \n",
-      "LTDB          0.847458  \n",
-      "MGAB          0.150940  \n",
-      "MITDB         0.613016  \n",
-      "MSL           0.222222  \n",
-      "NAB           0.205914  \n",
-      "NEK           0.008547  \n",
-      "OPPORTUNITY   0.071429  \n",
-      "Power         0.708926  \n",
-      "SED           0.687006  \n",
-      "SMAP          0.360987  \n",
-      "SMD           0.110133  \n",
-      "SVDB          0.751826  \n",
+      "CATSv2        0.971061  \n",
+      "Daphnet       0.024038  \n",
+      "Exathlon      0.356978  \n",
+      "IOPS          0.125516  \n",
+      "LTDB          0.838906  \n",
+      "MGAB          0.000000  \n",
+      "MITDB         0.299381  \n",
+      "MSL           0.105778  \n",
+      "NAB           0.276158  \n",
+      "NEK           0.325397  \n",
+      "OPPORTUNITY   0.021490  \n",
+      "Power         0.000000  \n",
+      "SED           0.000000  \n",
+      "SMAP          0.338855  \n",
+      "SMD           0.096921  \n",
+      "SVDB          0.520652  \n",
       "SWaT          0.000000  \n",
-      "Stock         0.010490  \n",
+      "Stock         0.036376  \n",
       "TAO           0.000000  \n",
-      "TODS          0.538600  \n",
-      "UCR           0.177598  \n",
-      "WSD           0.006061  \n",
-      "YAHOO         0.019690  \n"
+      "TODS          0.603929  \n",
+      "UCR           0.230630  \n",
+      "WSD           0.054808  \n",
+      "YAHOO         0.038252  \n"
      ]
     }
    ],
@@ -5554,15 +5568,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Gesamtdauer Training in s: 12758.542, in min: 212.642, in h: 3.544\n",
-      "Durchschnittliches Training pro Datei in s: 32.137\n"
+      "Gesamtdauer Training in s: 41374.425, in min: 689.574, in h: 11.493\n",
+      "Durchschnittliches Training pro Datei in s: 104.218\n"
      ]
     }
    ],
@@ -5581,15 +5595,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 52,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Durchschnittle Gesamt-Performanz des Modells: KShapeAD\n",
-      "Recall: 0.247, Precision: 0.205, F1: 0.425, Auc-Roc: 0.757, Auc-PR: 0.383, Vus-PR: 0.423\n"
+      "Durchschnittle Gesamt-Performanz des Modells: OCSVM\n",
+      "Recall: 0.155, Precision: 0.219, F1: 0.329, Auc-Roc: 0.773, Auc-PR: 0.275, Vus-PR: 0.339\n"
      ]
     }
    ],
@@ -5608,7 +5622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 53,
    "metadata": {},
    "outputs": [
     {
@@ -5616,8 +5630,8 @@
      "output_type": "stream",
      "text": [
       "Anzahl an Datensätzen mit Punktanomalien:  55\n",
-      "Durchschnittle Gesamt-Performanz des Modells: KShapeAD\n",
-      "Recall: 0.262, Precision: 0.019, F1: 0.321, Auc-Roc: 0.682, Auc-PR: 0.293, Vus-PR: 0.495\n"
+      "Durchschnittle Gesamt-Performanz des Modells: OCSVM\n",
+      "Recall: 0.068, Precision: 0.042, F1: 0.096, Auc-Roc: 0.781, Auc-PR: 0.049, Vus-PR: 0.362\n"
      ]
     }
    ],
@@ -5639,42 +5653,42 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 54,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "        duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
-      "group                                                                   \n",
-      "IOPS   45.516933  0.148483  0.503996  0.065996  0.368166     0.221140   \n",
-      "Stock  57.478806  0.095333  0.529748  0.717890  0.836341     0.159066   \n",
-      "TAO    29.587291  0.101534  0.511766  0.634080  0.773293     0.170023   \n",
-      "TODS   12.472389  0.081935  0.601164  0.850387  0.908232     0.134504   \n",
-      "UCR    27.806806  0.000854  0.874113  0.004607  0.898198     0.001704   \n",
-      "WSD    10.255568  0.001119  0.384502  0.007506  0.386503     0.005422   \n",
-      "YAHOO   1.144278  0.464439  0.749328  0.518467  0.767219     0.478743   \n",
+      "         duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
+      "group                                                                    \n",
+      "IOPS    13.898301  0.024701  0.584329  0.019092  0.557235     0.039854   \n",
+      "Stock  174.322859  0.097345  0.542291  0.717377  0.897425     0.170772   \n",
+      "TAO     63.681650  0.110446  0.567642  0.624783  0.893879     0.206042   \n",
+      "TODS    12.997364  0.070625  0.565769  0.851819  0.930252     0.123233   \n",
+      "UCR    475.566384  0.001794  0.911254  0.027690  0.954942     0.003573   \n",
+      "WSD      8.183030  0.002159  0.880521  0.006227  0.914005     0.006674   \n",
+      "YAHOO    0.987759  0.040087  0.877964  0.282248  0.947224     0.086138   \n",
       "\n",
       "          PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                  \n",
-      "IOPS   0.499519        0.251189    0.446503       0.800048  0.000000   \n",
-      "Stock  0.158497        0.158075    0.134519       0.667352  0.000479   \n",
-      "TAO    0.169646        0.169593    0.089392       0.679750  0.000000   \n",
-      "TODS   0.131855        0.131021    0.254328       0.673227  0.005109   \n",
-      "UCR    0.001661        0.001661    0.001008       0.812952  0.000000   \n",
-      "WSD    0.004479        0.004478    0.253760       0.733111  0.000000   \n",
-      "YAHOO  0.383285        0.383191    0.433819       0.864452  0.464516   \n",
+      "IOPS   0.507532        0.257335    0.410526       0.821911  0.013319   \n",
+      "Stock  0.162702        0.160067    0.183969       0.680238  0.000489   \n",
+      "TAO    0.203796        0.202339    0.181920       0.682888  0.000000   \n",
+      "TODS   0.121369        0.121340    0.107453       0.671491  0.007663   \n",
+      "UCR    0.003412        0.003412    0.001708       0.714992  0.000000   \n",
+      "WSD    0.010685        0.005739    0.008498       0.804068  0.000000   \n",
+      "YAHOO  0.078227        0.072557    0.090661       0.861206  0.118280   \n",
       "\n",
       "       Precision  \n",
       "group             \n",
-      "IOPS    0.000000  \n",
-      "Stock   0.010490  \n",
+      "IOPS    0.500000  \n",
+      "Stock   0.036376  \n",
       "TAO     0.000000  \n",
-      "TODS    0.111111  \n",
+      "TODS    0.232258  \n",
       "UCR     0.000000  \n",
       "WSD     0.000000  \n",
-      "YAHOO   0.019426  \n"
+      "YAHOO   0.008449  \n"
      ]
     }
    ],
@@ -5686,7 +5700,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 55,
    "metadata": {},
    "outputs": [
     {
@@ -5694,8 +5708,8 @@
      "output_type": "stream",
      "text": [
       "Anzahl an Datensätzen mit Sequenzanomalien:  158\n",
-      "Durchschnittle Gesamt-Performanz des Modells: KShapeAD\n",
-      "Recall: 0.161, Precision: 0.302, F1: 0.453, Auc-Roc: 0.760, Auc-PR: 0.396, Vus-PR: 0.411\n"
+      "Durchschnittle Gesamt-Performanz des Modells: OCSVM\n",
+      "Recall: 0.083, Precision: 0.266, F1: 0.384, Auc-Roc: 0.755, Auc-PR: 0.335, Vus-PR: 0.354\n"
      ]
     }
    ],
@@ -5717,7 +5731,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 56,
    "metadata": {},
    "outputs": [
     {
@@ -5726,72 +5740,72 @@
      "text": [
       "                duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
       "group                                                                           \n",
-      "CATSv2        236.819437  0.452377  0.724201  0.230658  0.696605     0.507399   \n",
-      "Daphnet        35.623369  0.033420  0.120788  0.035690  0.119038     0.114305   \n",
-      "Exathlon       30.996458  0.420990  0.704579  0.420845  0.705633     0.476715   \n",
-      "IOPS           22.287605  0.069434  0.560650  0.090598  0.576921     0.142728   \n",
-      "LTDB           93.477461  0.743642  0.864903  0.811737  0.883000     0.743372   \n",
-      "MGAB           36.636040  0.084411  0.693115  0.069759  0.687555     0.229185   \n",
-      "MITDB         443.862543  0.594424  0.947580  0.606652  0.961219     0.600204   \n",
-      "MSL             2.294159  0.194985  0.726015  0.290049  0.736139     0.411590   \n",
-      "NAB             4.943181  0.251877  0.589256  0.282421  0.613141     0.332874   \n",
-      "NEK             1.092160  0.375066  0.635456  0.282706  0.445377     0.503649   \n",
-      "OPPORTUNITY     8.709118  0.283461  0.710465  0.253277  0.657397     0.362509   \n",
-      "Power          17.223233  0.496250  0.737337  0.510537  0.760943     0.566831   \n",
-      "SED            11.265208  0.722020  0.989946  0.907086  0.996810     0.780849   \n",
-      "SMAP            3.354420  0.850192  0.977862  0.861769  0.982293     0.813132   \n",
-      "SMD            10.538638  0.077411  0.648348  0.070547  0.640256     0.154819   \n",
-      "SVDB           71.883359  0.788394  0.983502  0.804276  0.986567     0.753662   \n",
-      "SWaT         1051.773305  0.458896  0.799756  0.381310  0.756757     0.629526   \n",
-      "TODS            5.017621  0.627511  0.917800  0.719779  0.916483     0.630390   \n",
-      "WSD             8.363367  0.143776  0.756489  0.192884  0.782639     0.218349   \n",
-      "YAHOO           1.174419  0.240316  0.691290  0.276917  0.691833     0.439016   \n",
+      "CATSv2        576.820577  0.369080  0.706380  0.311384  0.729282     0.426982   \n",
+      "Daphnet        27.302989  0.066512  0.507790  0.070139  0.523716     0.116764   \n",
+      "Exathlon       37.826101  0.556786  0.830684  0.557891  0.833418     0.577401   \n",
+      "IOPS           11.544123  0.101872  0.723348  0.081453  0.696403     0.192020   \n",
+      "LTDB          106.949586  0.634659  0.796257  0.692470  0.850891     0.638340   \n",
+      "MGAB          177.334281  0.032883  0.537176  0.007014  0.642782     0.084602   \n",
+      "MITDB        1624.883895  0.355826  0.856398  0.351133  0.897026     0.435382   \n",
+      "MSL             2.013455  0.153546  0.633375  0.208802  0.702745     0.276630   \n",
+      "NAB             3.472690  0.245686  0.637900  0.297149  0.694854     0.325859   \n",
+      "NEK             0.886990  0.420323  0.723537  0.379838  0.777410     0.467305   \n",
+      "OPPORTUNITY     6.902177  0.090132  0.614360  0.092515  0.623037     0.163974   \n",
+      "Power          51.094489  0.215936  0.652180  0.225393  0.677670     0.237451   \n",
+      "SED            14.702547  0.187850  0.610291  0.164910  0.722816     0.220954   \n",
+      "SMAP            2.937379  0.760857  0.795312  0.795429  0.826134     0.814674   \n",
+      "SMD            14.381292  0.077154  0.691572  0.078384  0.739877     0.137919   \n",
+      "SVDB          369.966945  0.544488  0.927809  0.597908  0.950057     0.599689   \n",
+      "SWaT         1210.999244  0.159515  0.518403  0.159981  0.520024     0.309398   \n",
+      "TODS            4.506914  0.557978  0.840121  0.721308  0.918289     0.567518   \n",
+      "WSD             7.389923  0.038635  0.757766  0.048826  0.825840     0.081554   \n",
+      "YAHOO           0.791543  0.498439  0.834057  0.484099  0.809580     0.552448   \n",
       "\n",
       "                PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                        \n",
-      "CATSv2       0.626398        0.439105    0.170890       0.702560  0.300878   \n",
-      "Daphnet      0.128525        0.114273    0.396142       0.832210  0.000000   \n",
-      "Exathlon     0.909250        0.697865    0.443662       0.869385  0.012750   \n",
-      "IOPS         0.239655        0.149653    0.281651       0.815485  0.333333   \n",
-      "LTDB         0.860404        0.827142    0.731083       0.920124  0.097710   \n",
-      "MGAB         0.248686        0.229101    0.252603       0.739126  0.118095   \n",
-      "MITDB        0.699544        0.643637    0.647918       0.918732  0.373862   \n",
-      "MSL          0.571469        0.412982    0.472232       0.781600  0.000000   \n",
-      "NAB          0.732157        0.449236    0.372593       0.764737  0.014752   \n",
-      "NEK          0.677964        0.478924    0.551187       0.711606  0.003968   \n",
-      "OPPORTUNITY  0.816442        0.580687    0.360515       0.853285  0.047013   \n",
-      "Power        0.955110        0.863916    0.562924       0.957009  0.182667   \n",
-      "SED          0.882984        0.826164    0.808976       0.986410  0.655488   \n",
-      "SMAP         1.000000        1.000000    0.828955       0.998218  0.796642   \n",
-      "SMD          0.357111        0.175342    0.224130       0.732669  0.054639   \n",
-      "SVDB         0.872447        0.823307    0.695783       0.937513  0.641519   \n",
-      "SWaT         0.895086        0.433666    0.141600       0.705099  0.000000   \n",
-      "TODS         0.668963        0.523462    0.519941       0.853262  0.169565   \n",
-      "WSD          0.287165        0.246194    0.286497       0.797086  0.017422   \n",
-      "YAHOO        0.584627        0.463809    0.542449       0.805978  0.000000   \n",
+      "CATSv2       0.873839        0.709922    0.158695       0.727890  0.040811   \n",
+      "Daphnet      0.916632        0.178742    0.247652       0.770237  0.002168   \n",
+      "Exathlon     0.953952        0.831443    0.342542       0.906246  0.019985   \n",
+      "IOPS         0.338957        0.247820    0.126320       0.738963  0.387755   \n",
+      "LTDB         0.897274        0.799590    0.574608       0.892653  0.086590   \n",
+      "MGAB         0.218686        0.194577    0.099208       0.677589  0.000000   \n",
+      "MITDB        0.765995        0.550179    0.349144       0.861050  0.217145   \n",
+      "MSL          0.776111        0.357713    0.292643       0.753637  0.000000   \n",
+      "NAB          0.884031        0.611094    0.341621       0.826769  0.002672   \n",
+      "NEK          0.770002        0.562500    0.377398       0.795358  0.059259   \n",
+      "OPPORTUNITY  0.855501        0.335362    0.198465       0.749830  0.000000   \n",
+      "Power        1.000000        1.000000    0.352493       0.966658  0.000000   \n",
+      "SED          0.596144        0.588889    0.296696       0.784206  0.000000   \n",
+      "SMAP         0.947423        0.900000    0.610368       0.898112  0.464674   \n",
+      "SMD          0.719776        0.307068    0.209528       0.782645  0.022702   \n",
+      "SVDB         0.832140        0.734672    0.459895       0.904491  0.319174   \n",
+      "SWaT         0.764353        0.248020    0.108407       0.689201  0.000000   \n",
+      "TODS         0.680617        0.501154    0.408574       0.853316  0.169615   \n",
+      "WSD          0.260319        0.185103    0.112414       0.760044  0.010463   \n",
+      "YAHOO        0.907476        0.681121    0.337645       0.875085  0.007342   \n",
       "\n",
       "             Precision  \n",
       "group                   \n",
-      "CATSv2        0.997312  \n",
-      "Daphnet       0.000000  \n",
-      "Exathlon      0.164047  \n",
-      "IOPS          0.006051  \n",
-      "LTDB          0.847458  \n",
-      "MGAB          0.150940  \n",
-      "MITDB         0.613016  \n",
+      "CATSv2        0.971061  \n",
+      "Daphnet       0.024038  \n",
+      "Exathlon      0.356978  \n",
+      "IOPS          0.068093  \n",
+      "LTDB          0.838906  \n",
+      "MGAB          0.000000  \n",
+      "MITDB         0.299381  \n",
       "MSL           0.000000  \n",
-      "NAB           0.147133  \n",
-      "NEK           0.019231  \n",
-      "OPPORTUNITY   0.153846  \n",
-      "Power         0.708926  \n",
-      "SED           0.687006  \n",
-      "SMAP          0.737909  \n",
-      "SMD           0.124538  \n",
-      "SVDB          0.758392  \n",
+      "NAB           0.050926  \n",
+      "NEK           0.482143  \n",
+      "OPPORTUNITY   0.000000  \n",
+      "Power         0.000000  \n",
+      "SED           0.000000  \n",
+      "SMAP          0.431818  \n",
+      "SMD           0.081385  \n",
+      "SVDB          0.495423  \n",
       "SWaT          0.000000  \n",
-      "TODS          0.524876  \n",
-      "WSD           0.010823  \n",
-      "YAHOO         0.000000  \n"
+      "TODS          0.708457  \n",
+      "WSD           0.015899  \n",
+      "YAHOO         0.333333  \n"
      ]
     }
    ],
@@ -5810,7 +5824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 57,
    "metadata": {},
    "outputs": [
     {
@@ -5854,210 +5868,210 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>CATSv2</th>\n",
-       "      <td>0.452377</td>\n",
-       "      <td>0.724201</td>\n",
-       "      <td>0.230658</td>\n",
-       "      <td>0.507399</td>\n",
-       "      <td>0.300878</td>\n",
-       "      <td>0.997312</td>\n",
+       "      <td>0.369080</td>\n",
+       "      <td>0.706380</td>\n",
+       "      <td>0.311384</td>\n",
+       "      <td>0.426982</td>\n",
+       "      <td>0.040811</td>\n",
+       "      <td>0.971061</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Daphnet</th>\n",
-       "      <td>0.033420</td>\n",
-       "      <td>0.120788</td>\n",
-       "      <td>0.035690</td>\n",
-       "      <td>0.114305</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
+       "      <td>0.066512</td>\n",
+       "      <td>0.507790</td>\n",
+       "      <td>0.070139</td>\n",
+       "      <td>0.116764</td>\n",
+       "      <td>0.002168</td>\n",
+       "      <td>0.024038</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Exathlon</th>\n",
-       "      <td>0.420990</td>\n",
-       "      <td>0.704579</td>\n",
-       "      <td>0.420845</td>\n",
-       "      <td>0.476715</td>\n",
-       "      <td>0.012750</td>\n",
-       "      <td>0.164047</td>\n",
+       "      <td>0.556786</td>\n",
+       "      <td>0.830684</td>\n",
+       "      <td>0.557891</td>\n",
+       "      <td>0.577401</td>\n",
+       "      <td>0.019985</td>\n",
+       "      <td>0.356978</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>IOPS</th>\n",
-       "      <td>0.068365</td>\n",
-       "      <td>0.547448</td>\n",
-       "      <td>0.064609</td>\n",
-       "      <td>0.119151</td>\n",
-       "      <td>0.073274</td>\n",
-       "      <td>0.007659</td>\n",
+       "      <td>0.051207</td>\n",
+       "      <td>0.663177</td>\n",
+       "      <td>0.067672</td>\n",
+       "      <td>0.109625</td>\n",
+       "      <td>0.075638</td>\n",
+       "      <td>0.125516</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>LTDB</th>\n",
-       "      <td>0.743642</td>\n",
-       "      <td>0.864903</td>\n",
-       "      <td>0.811737</td>\n",
-       "      <td>0.743372</td>\n",
-       "      <td>0.097710</td>\n",
-       "      <td>0.847458</td>\n",
+       "      <td>0.634659</td>\n",
+       "      <td>0.796257</td>\n",
+       "      <td>0.692470</td>\n",
+       "      <td>0.638340</td>\n",
+       "      <td>0.086590</td>\n",
+       "      <td>0.838906</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MGAB</th>\n",
-       "      <td>0.084411</td>\n",
-       "      <td>0.693115</td>\n",
-       "      <td>0.069759</td>\n",
-       "      <td>0.229185</td>\n",
-       "      <td>0.118095</td>\n",
-       "      <td>0.150940</td>\n",
+       "      <td>0.032883</td>\n",
+       "      <td>0.537176</td>\n",
+       "      <td>0.007014</td>\n",
+       "      <td>0.084602</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MITDB</th>\n",
-       "      <td>0.594424</td>\n",
-       "      <td>0.947580</td>\n",
-       "      <td>0.606652</td>\n",
-       "      <td>0.600204</td>\n",
-       "      <td>0.373862</td>\n",
-       "      <td>0.613016</td>\n",
+       "      <td>0.355826</td>\n",
+       "      <td>0.856398</td>\n",
+       "      <td>0.351133</td>\n",
+       "      <td>0.435382</td>\n",
+       "      <td>0.217145</td>\n",
+       "      <td>0.299381</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MSL</th>\n",
-       "      <td>0.409835</td>\n",
-       "      <td>0.825987</td>\n",
-       "      <td>0.459063</td>\n",
-       "      <td>0.504202</td>\n",
-       "      <td>0.145087</td>\n",
-       "      <td>0.222222</td>\n",
+       "      <td>0.239125</td>\n",
+       "      <td>0.739126</td>\n",
+       "      <td>0.276927</td>\n",
+       "      <td>0.362317</td>\n",
+       "      <td>0.109275</td>\n",
+       "      <td>0.105778</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NAB</th>\n",
-       "      <td>0.396635</td>\n",
-       "      <td>0.660959</td>\n",
-       "      <td>0.415046</td>\n",
-       "      <td>0.478648</td>\n",
-       "      <td>0.050599</td>\n",
-       "      <td>0.205914</td>\n",
+       "      <td>0.343854</td>\n",
+       "      <td>0.666136</td>\n",
+       "      <td>0.376638</td>\n",
+       "      <td>0.402922</td>\n",
+       "      <td>0.072529</td>\n",
+       "      <td>0.276158</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NEK</th>\n",
-       "      <td>0.379153</td>\n",
-       "      <td>0.673130</td>\n",
-       "      <td>0.357818</td>\n",
-       "      <td>0.478314</td>\n",
-       "      <td>0.001764</td>\n",
-       "      <td>0.008547</td>\n",
+       "      <td>0.360131</td>\n",
+       "      <td>0.710666</td>\n",
+       "      <td>0.367261</td>\n",
+       "      <td>0.432511</td>\n",
+       "      <td>0.031221</td>\n",
+       "      <td>0.325397</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>OPPORTUNITY</th>\n",
-       "      <td>0.366866</td>\n",
-       "      <td>0.757637</td>\n",
-       "      <td>0.347881</td>\n",
-       "      <td>0.434931</td>\n",
-       "      <td>0.021827</td>\n",
-       "      <td>0.071429</td>\n",
+       "      <td>0.147631</td>\n",
+       "      <td>0.661025</td>\n",
+       "      <td>0.148914</td>\n",
+       "      <td>0.228057</td>\n",
+       "      <td>0.002064</td>\n",
+       "      <td>0.021490</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Power</th>\n",
-       "      <td>0.496250</td>\n",
-       "      <td>0.737337</td>\n",
-       "      <td>0.510537</td>\n",
-       "      <td>0.566831</td>\n",
-       "      <td>0.182667</td>\n",
-       "      <td>0.708926</td>\n",
+       "      <td>0.215936</td>\n",
+       "      <td>0.652180</td>\n",
+       "      <td>0.225393</td>\n",
+       "      <td>0.237451</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SED</th>\n",
-       "      <td>0.722020</td>\n",
-       "      <td>0.989946</td>\n",
-       "      <td>0.907086</td>\n",
-       "      <td>0.780849</td>\n",
-       "      <td>0.655488</td>\n",
-       "      <td>0.687006</td>\n",
+       "      <td>0.187850</td>\n",
+       "      <td>0.610291</td>\n",
+       "      <td>0.164910</td>\n",
+       "      <td>0.220954</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SMAP</th>\n",
-       "      <td>0.601232</td>\n",
-       "      <td>0.767636</td>\n",
-       "      <td>0.609905</td>\n",
-       "      <td>0.593002</td>\n",
-       "      <td>0.559008</td>\n",
-       "      <td>0.360987</td>\n",
+       "      <td>0.487651</td>\n",
+       "      <td>0.861212</td>\n",
+       "      <td>0.565618</td>\n",
+       "      <td>0.563891</td>\n",
+       "      <td>0.546802</td>\n",
+       "      <td>0.338855</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SMD</th>\n",
-       "      <td>0.131250</td>\n",
-       "      <td>0.655848</td>\n",
-       "      <td>0.122593</td>\n",
-       "      <td>0.186660</td>\n",
-       "      <td>0.095875</td>\n",
-       "      <td>0.110133</td>\n",
+       "      <td>0.122192</td>\n",
+       "      <td>0.744937</td>\n",
+       "      <td>0.115908</td>\n",
+       "      <td>0.182900</td>\n",
+       "      <td>0.069495</td>\n",
+       "      <td>0.096921</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SVDB</th>\n",
-       "      <td>0.798760</td>\n",
-       "      <td>0.984325</td>\n",
-       "      <td>0.810962</td>\n",
-       "      <td>0.764633</td>\n",
-       "      <td>0.659443</td>\n",
-       "      <td>0.751826</td>\n",
+       "      <td>0.547080</td>\n",
+       "      <td>0.930221</td>\n",
+       "      <td>0.592468</td>\n",
+       "      <td>0.598525</td>\n",
+       "      <td>0.304473</td>\n",
+       "      <td>0.520652</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SWaT</th>\n",
-       "      <td>0.458896</td>\n",
-       "      <td>0.799756</td>\n",
-       "      <td>0.381310</td>\n",
-       "      <td>0.629526</td>\n",
+       "      <td>0.159515</td>\n",
+       "      <td>0.518403</td>\n",
+       "      <td>0.159981</td>\n",
+       "      <td>0.309398</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Stock</th>\n",
-       "      <td>0.095333</td>\n",
-       "      <td>0.529748</td>\n",
-       "      <td>0.717890</td>\n",
-       "      <td>0.159066</td>\n",
-       "      <td>0.000479</td>\n",
-       "      <td>0.010490</td>\n",
+       "      <td>0.097345</td>\n",
+       "      <td>0.542291</td>\n",
+       "      <td>0.717377</td>\n",
+       "      <td>0.170772</td>\n",
+       "      <td>0.000489</td>\n",
+       "      <td>0.036376</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TAO</th>\n",
-       "      <td>0.103834</td>\n",
-       "      <td>0.517935</td>\n",
-       "      <td>0.721004</td>\n",
-       "      <td>0.172782</td>\n",
+       "      <td>0.117776</td>\n",
+       "      <td>0.577303</td>\n",
+       "      <td>0.720442</td>\n",
+       "      <td>0.205507</td>\n",
        "      <td>0.000000</td>\n",
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TODS</th>\n",
-       "      <td>0.462057</td>\n",
-       "      <td>0.809107</td>\n",
-       "      <td>0.747606</td>\n",
-       "      <td>0.492481</td>\n",
-       "      <td>0.187118</td>\n",
-       "      <td>0.538600</td>\n",
+       "      <td>0.404043</td>\n",
+       "      <td>0.740680</td>\n",
+       "      <td>0.748147</td>\n",
+       "      <td>0.437865</td>\n",
+       "      <td>0.149799</td>\n",
+       "      <td>0.603929</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UCR</th>\n",
-       "      <td>0.465144</td>\n",
-       "      <td>0.889491</td>\n",
-       "      <td>0.460106</td>\n",
-       "      <td>0.480275</td>\n",
-       "      <td>0.536193</td>\n",
-       "      <td>0.177598</td>\n",
+       "      <td>0.326989</td>\n",
+       "      <td>0.853025</td>\n",
+       "      <td>0.336356</td>\n",
+       "      <td>0.374480</td>\n",
+       "      <td>0.371525</td>\n",
+       "      <td>0.230630</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>WSD</th>\n",
-       "      <td>0.082639</td>\n",
-       "      <td>0.662574</td>\n",
-       "      <td>0.112541</td>\n",
-       "      <td>0.128861</td>\n",
-       "      <td>0.009756</td>\n",
-       "      <td>0.006061</td>\n",
+       "      <td>0.036128</td>\n",
+       "      <td>0.746600</td>\n",
+       "      <td>0.039999</td>\n",
+       "      <td>0.074105</td>\n",
+       "      <td>0.018010</td>\n",
+       "      <td>0.054808</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>YAHOO</th>\n",
-       "      <td>0.435473</td>\n",
-       "      <td>0.746907</td>\n",
-       "      <td>0.491670</td>\n",
-       "      <td>0.466854</td>\n",
-       "      <td>0.414790</td>\n",
-       "      <td>0.019690</td>\n",
+       "      <td>0.083868</td>\n",
+       "      <td>0.877014</td>\n",
+       "      <td>0.306932</td>\n",
+       "      <td>0.135211</td>\n",
+       "      <td>0.108753</td>\n",
+       "      <td>0.038252</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -6066,32 +6080,32 @@
       "text/plain": [
        "               AUC-PR   AUC-ROC    VUS-PR  Standard-F1    Recall  Precision\n",
        "group                                                                      \n",
-       "CATSv2       0.452377  0.724201  0.230658     0.507399  0.300878   0.997312\n",
-       "Daphnet      0.033420  0.120788  0.035690     0.114305  0.000000   0.000000\n",
-       "Exathlon     0.420990  0.704579  0.420845     0.476715  0.012750   0.164047\n",
-       "IOPS         0.068365  0.547448  0.064609     0.119151  0.073274   0.007659\n",
-       "LTDB         0.743642  0.864903  0.811737     0.743372  0.097710   0.847458\n",
-       "MGAB         0.084411  0.693115  0.069759     0.229185  0.118095   0.150940\n",
-       "MITDB        0.594424  0.947580  0.606652     0.600204  0.373862   0.613016\n",
-       "MSL          0.409835  0.825987  0.459063     0.504202  0.145087   0.222222\n",
-       "NAB          0.396635  0.660959  0.415046     0.478648  0.050599   0.205914\n",
-       "NEK          0.379153  0.673130  0.357818     0.478314  0.001764   0.008547\n",
-       "OPPORTUNITY  0.366866  0.757637  0.347881     0.434931  0.021827   0.071429\n",
-       "Power        0.496250  0.737337  0.510537     0.566831  0.182667   0.708926\n",
-       "SED          0.722020  0.989946  0.907086     0.780849  0.655488   0.687006\n",
-       "SMAP         0.601232  0.767636  0.609905     0.593002  0.559008   0.360987\n",
-       "SMD          0.131250  0.655848  0.122593     0.186660  0.095875   0.110133\n",
-       "SVDB         0.798760  0.984325  0.810962     0.764633  0.659443   0.751826\n",
-       "SWaT         0.458896  0.799756  0.381310     0.629526  0.000000   0.000000\n",
-       "Stock        0.095333  0.529748  0.717890     0.159066  0.000479   0.010490\n",
-       "TAO          0.103834  0.517935  0.721004     0.172782  0.000000   0.000000\n",
-       "TODS         0.462057  0.809107  0.747606     0.492481  0.187118   0.538600\n",
-       "UCR          0.465144  0.889491  0.460106     0.480275  0.536193   0.177598\n",
-       "WSD          0.082639  0.662574  0.112541     0.128861  0.009756   0.006061\n",
-       "YAHOO        0.435473  0.746907  0.491670     0.466854  0.414790   0.019690"
+       "CATSv2       0.369080  0.706380  0.311384     0.426982  0.040811   0.971061\n",
+       "Daphnet      0.066512  0.507790  0.070139     0.116764  0.002168   0.024038\n",
+       "Exathlon     0.556786  0.830684  0.557891     0.577401  0.019985   0.356978\n",
+       "IOPS         0.051207  0.663177  0.067672     0.109625  0.075638   0.125516\n",
+       "LTDB         0.634659  0.796257  0.692470     0.638340  0.086590   0.838906\n",
+       "MGAB         0.032883  0.537176  0.007014     0.084602  0.000000   0.000000\n",
+       "MITDB        0.355826  0.856398  0.351133     0.435382  0.217145   0.299381\n",
+       "MSL          0.239125  0.739126  0.276927     0.362317  0.109275   0.105778\n",
+       "NAB          0.343854  0.666136  0.376638     0.402922  0.072529   0.276158\n",
+       "NEK          0.360131  0.710666  0.367261     0.432511  0.031221   0.325397\n",
+       "OPPORTUNITY  0.147631  0.661025  0.148914     0.228057  0.002064   0.021490\n",
+       "Power        0.215936  0.652180  0.225393     0.237451  0.000000   0.000000\n",
+       "SED          0.187850  0.610291  0.164910     0.220954  0.000000   0.000000\n",
+       "SMAP         0.487651  0.861212  0.565618     0.563891  0.546802   0.338855\n",
+       "SMD          0.122192  0.744937  0.115908     0.182900  0.069495   0.096921\n",
+       "SVDB         0.547080  0.930221  0.592468     0.598525  0.304473   0.520652\n",
+       "SWaT         0.159515  0.518403  0.159981     0.309398  0.000000   0.000000\n",
+       "Stock        0.097345  0.542291  0.717377     0.170772  0.000489   0.036376\n",
+       "TAO          0.117776  0.577303  0.720442     0.205507  0.000000   0.000000\n",
+       "TODS         0.404043  0.740680  0.748147     0.437865  0.149799   0.603929\n",
+       "UCR          0.326989  0.853025  0.336356     0.374480  0.371525   0.230630\n",
+       "WSD          0.036128  0.746600  0.039999     0.074105  0.018010   0.054808\n",
+       "YAHOO        0.083868  0.877014  0.306932     0.135211  0.108753   0.038252"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 57,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6104,40 +6118,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 58,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "group\n",
-       "Daphnet        0.033420\n",
-       "IOPS           0.068365\n",
-       "WSD            0.082639\n",
-       "MGAB           0.084411\n",
-       "Stock          0.095333\n",
-       "TAO            0.103834\n",
-       "SMD            0.131250\n",
-       "OPPORTUNITY    0.366866\n",
-       "NEK            0.379153\n",
-       "NAB            0.396635\n",
-       "MSL            0.409835\n",
-       "Exathlon       0.420990\n",
-       "YAHOO          0.435473\n",
-       "CATSv2         0.452377\n",
-       "SWaT           0.458896\n",
-       "TODS           0.462057\n",
-       "UCR            0.465144\n",
-       "Power          0.496250\n",
-       "MITDB          0.594424\n",
-       "SMAP           0.601232\n",
-       "SED            0.722020\n",
-       "LTDB           0.743642\n",
-       "SVDB           0.798760\n",
+       "MGAB           0.032883\n",
+       "WSD            0.036128\n",
+       "IOPS           0.051207\n",
+       "Daphnet        0.066512\n",
+       "YAHOO          0.083868\n",
+       "Stock          0.097345\n",
+       "TAO            0.117776\n",
+       "SMD            0.122192\n",
+       "OPPORTUNITY    0.147631\n",
+       "SWaT           0.159515\n",
+       "SED            0.187850\n",
+       "Power          0.215936\n",
+       "MSL            0.239125\n",
+       "UCR            0.326989\n",
+       "NAB            0.343854\n",
+       "MITDB          0.355826\n",
+       "NEK            0.360131\n",
+       "CATSv2         0.369080\n",
+       "TODS           0.404043\n",
+       "SMAP           0.487651\n",
+       "SVDB           0.547080\n",
+       "Exathlon       0.556786\n",
+       "LTDB           0.634659\n",
        "Name: AUC-PR, dtype: float64"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6149,40 +6163,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 59,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "group\n",
-       "Daphnet        0.035690\n",
-       "IOPS           0.064609\n",
-       "MGAB           0.069759\n",
-       "WSD            0.112541\n",
-       "SMD            0.122593\n",
-       "CATSv2         0.230658\n",
-       "OPPORTUNITY    0.347881\n",
-       "NEK            0.357818\n",
-       "SWaT           0.381310\n",
-       "NAB            0.415046\n",
-       "Exathlon       0.420845\n",
-       "MSL            0.459063\n",
-       "UCR            0.460106\n",
-       "YAHOO          0.491670\n",
-       "Power          0.510537\n",
-       "MITDB          0.606652\n",
-       "SMAP           0.609905\n",
-       "Stock          0.717890\n",
-       "TAO            0.721004\n",
-       "TODS           0.747606\n",
-       "SVDB           0.810962\n",
-       "LTDB           0.811737\n",
-       "SED            0.907086\n",
+       "MGAB           0.007014\n",
+       "WSD            0.039999\n",
+       "IOPS           0.067672\n",
+       "Daphnet        0.070139\n",
+       "SMD            0.115908\n",
+       "OPPORTUNITY    0.148914\n",
+       "SWaT           0.159981\n",
+       "SED            0.164910\n",
+       "Power          0.225393\n",
+       "MSL            0.276927\n",
+       "YAHOO          0.306932\n",
+       "CATSv2         0.311384\n",
+       "UCR            0.336356\n",
+       "MITDB          0.351133\n",
+       "NEK            0.367261\n",
+       "NAB            0.376638\n",
+       "Exathlon       0.557891\n",
+       "SMAP           0.565618\n",
+       "SVDB           0.592468\n",
+       "LTDB           0.692470\n",
+       "Stock          0.717377\n",
+       "TAO            0.720442\n",
+       "TODS           0.748147\n",
        "Name: VUS-PR, dtype: float64"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/src/models/desi/test_hyperparameters.ipynb b/src/models/desi/test_hyperparameters.ipynb
index 12eb203..7f77986 100644
--- a/src/models/desi/test_hyperparameters.ipynb
+++ b/src/models/desi/test_hyperparameters.ipynb
@@ -2,18 +2,9 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CUDA available:  True\n",
-      "cuDNN version:  90100\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -23,37 +14,37 @@
     "from src.utils.slidingWindows import find_length_rank\n",
     "from src.run_model_wrapper import preprocess_data\n",
     "from src.evaluation import get_metrics\n",
-    "from SAND import SAND"
+    "from OCSVM import OCSVM"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Hyperparamater\n",
-    "params =  {'periodicity': 1}"
+    "params =  {'periodicity': 2, 'kernel': 'rbf'}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Fit Funktion\n",
-    "def run_KShapeAD(data, periodicity=1):\n",
-    "    slidingWindow = find_length_rank(data, rank=periodicity)\n",
-    "    clf = SAND(pattern_length=slidingWindow, subsequence_length=4*(slidingWindow))\n",
-    "    clf.fit(X=data.squeeze(),online=False, overlaping_rate=int(1.5*slidingWindow))\n",
-    "    score = clf.decision_scores_\n",
+    "def run_Sub_OCSVM(data_train, data_test, kernel='rbf', nu=0.5, periodicity=1, n_jobs=1):\n",
+    "    slidingWindow = find_length_rank(data_test, rank=periodicity)\n",
+    "    clf = OCSVM(slidingWindow=slidingWindow, kernel=kernel, nu=nu)\n",
+    "    clf.fit(data_train)\n",
+    "    score = clf.decision_function(data_test)\n",
     "    return score.ravel()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -63,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -73,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -87,46 +78,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
       "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
       "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
      ]
@@ -142,30 +93,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
       "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
       "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
      ]
@@ -181,34 +108,6 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
-      "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\utils\\deprecation.py:151: FutureWarning: 'force_all_finite' was renamed to 'ensure_all_finite' in 1.6 and will be removed in 1.8.\n",
-      "  warnings.warn(\n",
       "c:\\Users\\desiw\\AppData\\Local\\Programs\\Python\\Python311\\Lib\\site-packages\\sklearn\\metrics\\_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.\n",
       "  _warn_prf(average, modifier, f\"{metric.capitalize()} is\", len(result))\n"
      ]
@@ -226,8 +125,8 @@
     "    label = np.array(time_series['label'])\n",
     "    train_data = time_series['train_data']\n",
     "    \n",
-    "    #scores = run_LOF(train_data,data, **params)\n",
-    "    scores = run_KShapeAD(data, **params)\n",
+    "    scores = run_Sub_OCSVM(train_data,data, **params) #semi-supervised\n",
+    "    #scores = run_KShapeAD(data, **params) #unsupervised\n",
     "\n",
     "    slidingWindow = time_series['sliding_window']\n",
     "    metrics = get_metrics(scores, labels=label, slidingWindow=slidingWindow)\n",
@@ -236,18 +135,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, AUC-PR: 0.0983782436258824, VUS-PR: 0.8871743329644867\n",
-      "Datei: 258_TAO_id_2_Environment_tr_500_1st_4.csv, AUC-PR: 0.14906529874605562, VUS-PR: 0.9406478652985084\n",
-      "Datei: 259_TAO_id_3_Environment_tr_500_1st_7.csv, AUC-PR: 0.04592060635184418, VUS-PR: 0.2505436799139267\n",
-      "Durchschnittlicher AUC-PR:  0.09778804957459407\n",
-      "Durchschnittlicher VUS-PR:  0.6927886260589741\n"
+      "Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, AUC-PR: 0.12245353442042406, VUS-PR: 0.904907986376071\n",
+      "Datei: 258_TAO_id_2_Environment_tr_500_1st_4.csv, AUC-PR: 0.15662321342792412, VUS-PR: 0.9449252771845215\n",
+      "Datei: 259_TAO_id_3_Environment_tr_500_1st_7.csv, AUC-PR: 0.054974065991650625, VUS-PR: 0.34755231499773087\n",
+      "Durchschnittlicher AUC-PR:  0.1113502712799996\n",
+      "Durchschnittlicher VUS-PR:  0.7324618595194411\n"
      ]
     }
    ],
@@ -269,7 +168,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -278,7 +177,7 @@
        "dict_keys(['AUC-PR', 'AUC-ROC', 'VUS-PR', 'VUS-ROC', 'Standard-F1', 'PA-F1', 'Event-based-F1', 'R-based-F1', 'Affiliation-F', 'Precision', 'Recall'])"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
-- 
GitLab