From 8461ec9395233ff41b1c47a67c818ad0635a2f95 Mon Sep 17 00:00:00 2001
From: DesireeWyrzylala <74858504+DesireeWyrzylala@users.noreply.github.com>
Date: Sat, 15 Feb 2025 19:48:11 +0100
Subject: [PATCH] evaluate kshape

---
 .../kShapeAD_groups_auc-pr_anomaly.png        |   Bin 0 -> 55931 bytes
 .../auc-pr/groups/kShapeAD_groups_auc-pr.png  |   Bin 0 -> 71581 bytes
 .../kShapeAD_groups_vus-pr_anomaly.png        |   Bin 0 -> 55714 bytes
 .../vus-pr/groups/kShapeAD_groups_vus-pr.png  |   Bin 0 -> 72200 bytes
 .../257_TAO_id_1_Environment_tr_500_1st_3.csv | 10001 ++++++++++++++++
 .../258_TAO_id_2_Environment_tr_500_1st_4.csv | 10001 ++++++++++++++++
 .../259_TAO_id_3_Environment_tr_500_1st_7.csv | 10001 ++++++++++++++++
 docs/evaluation/Vergleich der Ergebnisse.md   |   401 +-
 src/models/desi/desi_evaluate_groups.ipynb    |  2460 ++--
 src/models/desi/test_hyperparameters.ipynb    |   145 +-
 10 files changed, 31597 insertions(+), 1412 deletions(-)
 create mode 100644 bilder/evaluation/auc-pr/anomaly/kShapeAD_groups_auc-pr_anomaly.png
 create mode 100644 bilder/evaluation/auc-pr/groups/kShapeAD_groups_auc-pr.png
 create mode 100644 bilder/evaluation/vus-pr/anomalien/kShapeAD_groups_vus-pr_anomaly.png
 create mode 100644 bilder/evaluation/vus-pr/groups/kShapeAD_groups_vus-pr.png
 create mode 100644 data/train/temp/257_TAO_id_1_Environment_tr_500_1st_3.csv
 create mode 100644 data/train/temp/258_TAO_id_2_Environment_tr_500_1st_4.csv
 create mode 100644 data/train/temp/259_TAO_id_3_Environment_tr_500_1st_7.csv

diff --git a/bilder/evaluation/auc-pr/anomaly/kShapeAD_groups_auc-pr_anomaly.png b/bilder/evaluation/auc-pr/anomaly/kShapeAD_groups_auc-pr_anomaly.png
new file mode 100644
index 0000000000000000000000000000000000000000..dccb1690b4c7b577a0c341c44bc5b278c3c68be4
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diff --git a/bilder/evaluation/vus-pr/anomalien/kShapeAD_groups_vus-pr_anomaly.png b/bilder/evaluation/vus-pr/anomalien/kShapeAD_groups_vus-pr_anomaly.png
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diff --git a/data/train/temp/257_TAO_id_1_Environment_tr_500_1st_3.csv b/data/train/temp/257_TAO_id_1_Environment_tr_500_1st_3.csv
new file mode 100644
index 0000000..ab35cc3
--- /dev/null
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diff --git a/data/train/temp/258_TAO_id_2_Environment_tr_500_1st_4.csv b/data/train/temp/258_TAO_id_2_Environment_tr_500_1st_4.csv
new file mode 100644
index 0000000..01e75dc
--- /dev/null
+++ b/data/train/temp/258_TAO_id_2_Environment_tr_500_1st_4.csv
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diff --git a/data/train/temp/259_TAO_id_3_Environment_tr_500_1st_7.csv b/data/train/temp/259_TAO_id_3_Environment_tr_500_1st_7.csv
new file mode 100644
index 0000000..ba1b0cc
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diff --git a/docs/evaluation/Vergleich der Ergebnisse.md b/docs/evaluation/Vergleich der Ergebnisse.md
index db4248d..1a1a368 100644
--- a/docs/evaluation/Vergleich der Ergebnisse.md	
+++ b/docs/evaluation/Vergleich der Ergebnisse.md	
@@ -1,10 +1,10 @@
 
 # Laufzeiten
-| Laufzeiten                     | POLY | iForest | PCA  | USAD | CNN  | OmAn | LSTM | kShape | kMeans | OCSVM | LOF  | Sub-LOF | KNN  |
-| ------------------------------ | ---- | ------- | ---- | ---- | ---- | ---- | ---- | ------ | ------ | ----- | ---- | ------- | ---- |
-| **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 |        | 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 |        | 50.9   |       | 18.5 | 46.6    | 60.5 |
+| 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 |       |
 
 # Datensätze
 + Gesamtanzahl Zeitserien: 397
@@ -13,138 +13,138 @@
 + Anzahl an Zeitserien mit nur Sequenzanomalien: 158
 
 ## Gesamtbewertung nach AUC-PR
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| UCR           | 0.156850  | 0.059389  | 0.138533  | 0.088392  | 0.069477  | 0.085236  | 0.028041  |        | 0.487206  |       | 0.048985  | 0.495182  | 0.283830  | UCR           |
-| SMD           | 0.639394  | 0.369237  | 0.495851  | 0.665737  | 0.565370  | 0.531140  | 0.539890  |        | 0.260908  |       | 0.182353  | 0.486307  | 0.162970  | SMD           |
-| YAHOO         | 0.075395  | 0.092730  | 0.117107  | 0.117266  | 0.561562  | 0.148188  | 0.443957  |        | 0.699444  |       | 0.409909  | 0.150503  | 0.144445  | YAHOO         |
-| Exathlon      | 0.844513  | 0.962806  | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  |        | 0.617690  |       | 0.245106  | 0.257618  | 0.563481  | Exathlon      |
-| NAB           | 0.526439  | 0.314587  | 0.486528  | 0.300305  | 0.223347  | 0.332227  | 0.153306  |        | 0.401505  |       | 0.144844  | 0.495381  | 0.311100  | NAB           |
-| OPPORTUNITY   | 0.420658  | 0.733153  | 0.923192  | 0.651235  | 0.619160  | 0.649867  | 0.545535  |        | 0.365381  |       | 0.153396  | 0.158653  | 0.298396  | OPPORTUNITY   |
-| WSD           | 0.427387  | 0.040993  | 0.216542  | 0.240276  | 0.303128  | 0.251057  | 0.209492  |        | 0.146372  |       | 0.141918  | 0.539254  | 0.044597  | WSD           |
-| SVDB          | 0.506002  | 0.311936  | 0.558896  | 0.459209  | 0.197103  | 0.476835  | 0.129879  |        | 0.809036  |       | 0.044940  | 0.356140  | 0.538270  | SVDB          |
-| SMAP          | 0.604826  | 0.299302  | 0.484416  | 0.273159  | 0.329931  | 0.385082  | 0.278827  |        | 0.648913  |       | 0.180797  | 0.510341  | 0.453816  | SMAP          |
-| IOPS          | 0.332866  | 0.231569  | 0.372849  | 0.403523  | 0.265889  | 0.368163  | 0.320195  |        | 0.068715  |       | 0.116787  | 0.263492  | 0.070598  | IOPS          |
-| TODS          | 0.239024  | 0.076521  | 0.124321  | 0.163915  | 0.303786  | 0.172369  | 0.205671  |        | 0.448703  |       | 0.100820  | 0.166507  | 0.410649  | TODS          |
-| Stock         | 0.146590  | 0.143940  | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  |        | 0.114476  |       | 0.112061  | 0.115033  | 0.096103  | Stock         |
-| MGAB          | 0.008996  | 0.004336  | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  |        | 0.085299  |       | 0.002209  | 0.567335  | 0.325650  | MGAB          |
-| MSL           | 0.629533  | 0.386085  | 0.493320  | 0.267256  | 0.307033  | 0.394283  | 0.237442  |        | 0.371438  |       | 0.151228  | 0.442670  | 0.313525  | MSL           |
-| NEK           | 0.709458  | 0.630339  | 0.891733  | 0.816021  | 0.685573  | 0.836145  | 0.667421  |        | 0.346973  |       | 0.363561  | 0.554506  | 0.119174  | NEK           |
-| LTDB          | 0.455324  | 0.521341  | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  |        | 0.765819  |       | 0.203241  | 0.333160  | 0.589828  | LTDB          |
-| MITDB         | 0.366934  | 0.169557  | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  |        | 0.583808  |       | 0.051628  | 0.385195  | 0.500834  | MITDB         |
-| TAO           | 0.140526  | 0.125817  | 0.149144  | 0.339781  | 0.994857  | 0.344060  | 0.993397  |        | 0.129147  |       | 0.167995  | 0.139803  | 0.108733  | TAO           |
-| SED           | 0.031421  | 0.691484  | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  |        | 0.710575  |       | 0.082198  | 0.109660  | 0.707453  | SED           |
-| Daphnet       | 0.536827  | 0.496579  | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  |        | 0.036445  |       | 0.129509  | 0.252282  | 0.033893  | Daphnet       |
-| SWaT          | 0.123133  | 0.702432  | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  |        | 0.111152  |       | 0.120683  | 0.113563  | 0.110376  | SWaT          |
-| Power         | 0.203760  | 0.073981  | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  |        | 0.507629  |       | 0.086245  | 0.175035  | 0.160167  | Power         |
-| CATSv2        | 0.476434  | 0.139416  | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  |        | 0.455611  |       | 0.071542  | 0.511976  | 0.482166  | CATSv2        |
-| **Insgesamt** | **0.394** | **0.304** | **0.407** | **0.352** | **0.366** | **0.354** | **0.313** |        | **0.444** |       | **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  |       | 0.048985  | 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** |
 
 ## Gesamtbewertung nach VUS-PR
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| UCR           | 0.198780  | 0.058773  | 0.152678  | 0.084437  | 0.065443  | 0.089552  | 0.023293  |        | 0.486822  |       | 0.051489  | 0.514326  | 0.329748  | UCR           |
-| SMD           | 0.663191  | 0.342406  | 0.467257  | 0.629404  | 0.545045  | 0.478742  | 0.483944  |        | 0.254537  |       | 0.134985  | 0.544696  | 0.163803  | SMD           |
-| YAHOO         | 0.307653  | 0.135664  | 0.163729  | 0.192366  | 0.512096  | 0.219787  | 0.417416  |        | 0.781824  |       | 0.381508  | 0.451001  | 0.502031  | YAHOO         |
-| Exathlon      | 0.847945  | 0.964836  | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  |        | 0.618051  |       | 0.240338  | 0.262478  | 0.562449  | Exathlon      |
-| NAB           | 0.584112  | 0.342137  | 0.511398  | 0.308303  | 0.248091  | 0.342007  | 0.173732  |        | 0.427477  |       | 0.165966  | 0.532450  | 0.341432  | NAB           |
-| OPPORTUNITY   | 0.426326  | 0.736264  | 0.924516  | 0.651269  | 0.632799  | 0.649931  | 0.563772  |        | 0.351828  |       | 0.159200  | 0.149548  | 0.295398  | OPPORTUNITY   |
-| WSD           | 0.531110  | 0.027487  | 0.155366  | 0.155950  | 0.224922  | 0.157612  | 0.130270  |        | 0.173060  |       | 0.102346  | 0.551041  | 0.083204  | WSD           |
-| SVDB          | 0.445531  | 0.307322  | 0.523984  | 0.435722  | 0.199785  | 0.445289  | 0.127489  |        | 0.811385  |       | 0.050189  | 0.383000  | 0.591484  | SVDB          |
-| SMAP          | 0.727079  | 0.327727  | 0.566842  | 0.302212  | 0.336818  | 0.417852  | 0.273214  |        | 0.657738  |       | 0.172499  | 0.597854  | 0.558287  | SMAP          |
-| IOPS          | 0.365055  | 0.134518  | 0.260372  | 0.192815  | 0.205826  | 0.192837  | 0.213044  |        | 0.107988  |       | 0.123657  | 0.380817  | 0.116527  | IOPS          |
-| TODS          | 0.586493  | 0.487386  | 0.552877  | 0.529843  | 0.575941  | 0.538194  | 0.522228  |        | 0.739257  |       | 0.485079  | 0.691125  | 0.780280  | TODS          |
-| Stock         | 0.805375  | 0.735886  | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  |        | 0.738198  |       | 0.710487  | 0.747567  | 0.691512  | Stock         |
-| MGAB          | 0.008269  | 0.004379  | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  |        | 0.036645  |       | 0.004639  | 0.634748  | 0.238613  | MGAB          |
-| MSL           | 0.734244  | 0.448709  | 0.523310  | 0.295208  | 0.346350  | 0.428048  | 0.305128  |        | 0.441543  |       | 0.186700  | 0.544711  | 0.368746  | MSL           |
-| NEK           | 0.764836  | 0.649735  | 0.929171  | 0.827283  | 0.714845  | 0.858349  | 0.689697  |        | 0.317927  |       | 0.395130  | 0.687020  | 0.132908  | NEK           |
-| LTDB          | 0.510507  | 0.566359  | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  |        | 0.835553  |       | 0.256447  | 0.409530  | 0.692355  | LTDB          |
-| MITDB         | 0.320425  | 0.159042  | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  |        | 0.590892  |       | 0.053749  | 0.367125  | 0.548995  | MITDB         |
-| TAO           | 0.808453  | 0.728970  | 0.840276  | 0.928987  | 0.994270  | 0.930020  | 0.995044  |        | 0.747945  |       | 0.710584  | 0.807694  | 0.684119  | TAO           |
-| SED           | 0.040176  | 0.807209  | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  |        | 0.895291  |       | 0.111105  | 0.253420  | 0.882987  | SED           |
-| Daphnet       | 0.519516  | 0.518905  | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  |        | 0.039747  |       | 0.134804  | 0.253956  | 0.035185  | Daphnet       |
-| SWaT          | 0.103364  | 0.368230  | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  |        | 0.111519  |       | 0.121168  | 0.113915  | 0.110850  | SWaT          |
-| Power         | 0.122294  | 0.076373  | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  |        | 0.524166  |       | 0.090503  | 0.160858  | 0.166562  | Power         |
-| CATSv2        | 0.232252  | 0.105175  | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  |        | 0.229268  |       | 0.063826  | 0.393045  | 0.354730  | CATSv2        |
-| **Insgesamt** | **0.478** | **0.341** | **0.444** | **0.375** | **0.367** | **0.377** | **0.320** |        | **0.489** |       | **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  |       | 0.051489  | 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** |
 
 ## Gesamtbewertung der Punktanomalien nach AUC-PR
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| UCR           | 0.000257  | 0.000139  | 0.000196  | 0.000178  | 0.000498  | 0.000178  | 0.000221  |        | 0.002843  |       | 0.000653  | 0.040927  | 0.003749  | UCR           |
-| YAHOO         | 0.024161  | 0.007312  | 0.060498  | 0.087663  | 0.587049  | 0.122574  | 0.455103  |        | 0.742578  |       | 0.422520  | 0.141987  | 0.130716  | YAHOO         |
-| WSD           | 0.167066  | 0.000501  | 0.206655  | 0.285712  | 0.342989  | 0.407280  | 0.334638  |        | 0.003073  |       | 0.003879  | 0.327958  | 0.000945  | WSD           |
-| IOPS          | 0.141657  | 0.011860  | 0.036186  | 0.016979  | 0.210157  | 0.016952  | 0.197084  |        | 0.066886  |       | 0.176712  | 0.121683  | 0.041389  | IOPS          |
-| TODS          | 0.061866  | 0.069264  | 0.067229  | 0.065809  | 0.531847  | 0.064650  | 0.367334  |        | 0.083989  |       | 0.071959  | 0.077775  | 0.075986  | TODS          |
-| Stock         | 0.146590  | 0.143940  | 0.148428  | 0.133570  | 0.929344  | 0.133646  | 0.519232  |        | 0.114476  |       | 0.112061  | 0.115033  | 0.096103  | Stock         |
-| TAO           | 0.148356  | 0.126763  | 0.160428  | 0.330086  | 0.993457  | 0.336829  | 0.994218  |        | 0.121904  |       | 0.128972  | 0.145212  | 0.098915  | TAO           |
-| **Insgesamt** | **0.060** | **0.039** | **0.079** | **0.100** | **0.585** | **0.125** | **0.426** |        | **0.451** |       | **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  |       | 0.000653  | 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** |
 
 
 ## Gesamtbewertung der Punktanomalien nach VUS-PR
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| UCR           | 0.003356  | 0.000267  | 0.000408  | 0.000406  | 0.128496  | 0.000406  | 0.000237  |        | 0.012483  |       | 0.012963  | 0.208122  | 0.011814  | UCR           |
-| YAHOO         | 0.282071  | 0.052201  | 0.113436  | 0.159136  | 0.519819  | 0.190097  | 0.414255  |        | 0.826036  |       | 0.383203  | 0.475296  | 0.521624  | YAHOO         |
-| WSD           | 0.216267  | 0.001036  | 0.124850  | 0.088179  | 0.131018  | 0.105822  | 0.100076  |        | 0.021818  |       | 0.035113  | 0.140331  | 0.007947  | WSD           |
-| IOPS          | 0.187766  | 0.017686  | 0.048169  | 0.042432  | 0.147113  | 0.035031  | 0.080739  |        | 0.202456  |       | 0.073159  | 0.327754  | 0.327373  | IOPS          |
-| TODS          | 0.803771  | 0.815915  | 0.820717  | 0.780347  | 0.895740  | 0.800324  | 0.852834  |        | 0.857103  |       | 0.786747  | 0.849582  | 0.855125  | TODS          |
-| Stock         | 0.805375  | 0.735886  | 0.825382  | 0.771612  | 0.939925  | 0.771658  | 0.817960  |        | 0.738198  |       | 0.710487  | 0.747567  | 0.691512  | Stock         |
-| TAO           | 0.761585  | 0.654975  | 0.805852  | 0.907035  | 0.991524  | 0.908594  | 0.992980  |        | 0.666432  |       | 0.623702  | 0.755775  | 0.570248  | TAO           |
-| **Insgesamt** | **0.392** | **0.232** | **0.294** | **0.310** | **0.571** | **0.329** | **0.471** |        | **0.680** |       | **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  |       | 0.012963  | 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** |
 
 
 ## Gesamtbewertung der Sequenzanomalien nach AUC-PR
 
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| SMD           | 0.439343  | 0.336128  | 0.459753  | 0.561216  | 0.505749  | 0.460181  | 0.495482  |        | 0.095816  |       | 0.163313  | 0.339639  | 0.050501  | SMD           |
-| YAHOO         | 0.571428  | 0.981990  | 0.690088  | 0.349449  | 0.345384  | 0.349465  | 0.344485  |        | 0.462352  |       | 0.316546  | 0.242005  | 0.306868  | YAHOO         |
-| Exathlon      | 0.844513  | 0.962806  | 0.958102  | 0.862358  | 0.654310  | 0.874519  | 0.733875  |        | 0.617690  |       | 0.245106  | 0.257618  | 0.563481  | Exathlon      |
-| NAB           | 0.402974  | 0.251317  | 0.439685  | 0.272908  | 0.209869  | 0.335713  | 0.162982  |        | 0.230029  |       | 0.154619  | 0.457316  | 0.176029  | NAB           |
-| OPPORTUNITY   | 0.624496  | 0.870159  | 0.968964  | 0.661820  | 0.727956  | 0.661818  | 0.547465  |        | 0.276125  |       | 0.144952  | 0.154555  | 0.263868  | OPPORTUNITY   |
-| WSD           | 0.324235  | 0.067695  | 0.099717  | 0.122887  | 0.242314  | 0.123481  | 0.127908  |        | 0.253831  |       | 0.094898  | 0.452830  | 0.077550  | WSD           |
-| SVDB          | 0.483934  | 0.313933  | 0.541451  | 0.445765  | 0.198720  | 0.465020  | 0.130291  |        | 0.799099  |       | 0.046729  | 0.329395  | 0.519348  | SVDB          |
-| SMAP          | 0.798189  | 0.481811  | 0.887517  | 0.865663  | 0.241609  | 0.876352  | 0.233398  |        | 0.928300  |       | 0.060424  | 0.488277  | 0.788114  | SMAP          |
-| IOPS          | 0.482294  | 0.276687  | 0.549216  | 0.710230  | 0.429909  | 0.721261  | 0.461068  |        | 0.061431  |       | 0.272670  | 0.157124  | 0.031872  | IOPS          |
-| TODS          | 0.281649  | 0.071679  | 0.149989  | 0.184682  | 0.206602  | 0.191109  | 0.170148  |        | 0.592072  |       | 0.081599  | 0.240756  | 0.533591  | TODS          |
-| MGAB          | 0.008996  | 0.004336  | 0.027123  | 0.032097  | 0.003855  | 0.015268  | 0.045860  |        | 0.085299  |       | 0.002209  | 0.567335  | 0.325650  | MGAB          |
-| MSL           | 0.557113  | 0.453614  | 0.475464  | 0.104606  | 0.264200  | 0.364941  | 0.257571  |        | 0.288743  |       | 0.277979  | 0.368527  | 0.238423  | MSL           |
-| NEK           | 0.568731  | 0.688168  | 0.849600  | 0.863096  | 0.715902  | 0.877024  | 0.681103  |        | 0.331911  |       | 0.356301  | 0.433487  | 0.146699  | NEK           |
-| LTDB          | 0.455324  | 0.521341  | 0.489411  | 0.461335  | 0.354462  | 0.479711  | 0.276735  |        | 0.765819  |       | 0.203241  | 0.333160  | 0.589828  | LTDB          |
-| MITDB         | 0.366934  | 0.169557  | 0.377853  | 0.201810  | 0.160153  | 0.206999  | 0.113066  |        | 0.583808  |       | 0.051628  | 0.385195  | 0.500834  | MITDB         |
-| SED           | 0.031421  | 0.691484  | 0.020994  | 0.026231  | 0.029325  | 0.031663  | 0.030497  |        | 0.710575  |       | 0.082198  | 0.109660  | 0.707453  | SED           |
-| Daphnet       | 0.536827  | 0.496579  | 0.468647  | 0.192057  | 0.381499  | 0.192069  | 0.132234  |        | 0.036445  |       | 0.129509  | 0.252282  | 0.033893  | Daphnet       |
-| SWaT          | 0.123133  | 0.702432  | 0.756700  | 0.757484  | 0.738718  | 0.757687  | 0.737695  |        | 0.111152  |       | 0.120683  | 0.113563  | 0.110376  | SWaT          |
-| Power         | 0.203760  | 0.073981  | 0.078866  | 0.064665  | 0.072400  | 0.064665  | 0.064788  |        | 0.507629  |       | 0.086245  | 0.175035  | 0.160167  | Power         |
-| CATSv2        | 0.476434  | 0.139416  | 0.474705  | 0.481625  | 0.411894  | 0.437868  | 0.358071  |        | 0.455611  |       | 0.071542  | 0.511976  | 0.482166  | CATSv2        |
-| **Insgesamt** | **0.499** | **0.479** | **0.553** | **0.474** | **0.387** | **0.481** | **0.357** |        | **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  |       | 0.163313  | 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** |
 
 ## Gesamtbewertung der Sequenzanomalien nach VUS-PR
 
-| Datensatz     | POLY      | iForest   | PCA       | USAD      | CNN       | OmAn      | LSTM      | kShape | kMeans    | OCSVM | LOF       | Sub-LOF   | KNN       | Datensatz     |
-| ------------- | --------- | --------- | --------- | --------- | --------- | --------- | --------- | ------ | --------- | ----- | --------- | --------- | --------- | ------------- |
-| SMD           | 0.482296  | 0.322146  | 0.423162  | 0.519965  | 0.503535  | 0.410939  | 0.453416  |        | 0.092843  |       | 0.137760  | 0.457631  | 0.063644  | SMD           |
-| YAHOO         | 0.518566  | 0.936245  | 0.568333  | 0.354527  | 0.351064  | 0.354507  | 0.348855  |        | 0.477510  |       | 0.304093  | 0.188491  | 0.322916  | YAHOO         |
-| Exathlon      | 0.847945  | 0.964836  | 0.959173  | 0.864301  | 0.657757  | 0.876372  | 0.735253  |        | 0.618051  |       | 0.240338  | 0.262478  | 0.562449  | Exathlon      |
-| NAB           | 0.478372  | 0.285635  | 0.474780  | 0.262268  | 0.238264  | 0.326918  | 0.181686  |        | 0.272775  |       | 0.183564  | 0.511944  | 0.219327  | NAB           |
-| OPPORTUNITY   | 0.630618  | 0.868003  | 0.966351  | 0.660160  | 0.741769  | 0.660151  | 0.567052  |        | 0.255118  |       | 0.152842  | 0.139082  | 0.257788  | OPPORTUNITY   |
-| WSD           | 0.457794  | 0.038526  | 0.067564  | 0.086910  | 0.206990  | 0.087346  | 0.100554  |        | 0.293116  |       | 0.073377  | 0.608260  | 0.142998  | WSD           |
-| SVDB          | 0.423050  | 0.314567  | 0.508621  | 0.424770  | 0.206479  | 0.436465  | 0.131672  |        | 0.804472  |       | 0.052218  | 0.359030  | 0.579059  | SVDB          |
-| SMAP          | 0.891481  | 0.487664  | 0.951739  | 0.947702  | 0.237156  | 0.951635  | 0.223192  |        | 0.946525  |       | 0.046142  | 0.599966  | 0.818737  | SMAP          |
-| IOPS          | 0.426245  | 0.267117  | 0.422834  | 0.341683  | 0.312286  | 0.380533  | 0.334417  |        | 0.112229  |       | 0.302989  | 0.258387  | 0.111561  | IOPS          |
-| TODS          | 0.437694  | 0.174752  | 0.342464  | 0.336685  | 0.331028  | 0.338275  | 0.263210  |        | 0.689051  |       | 0.198760  | 0.600606  | 0.773793  | TODS          |
-| MGAB          | 0.008269  | 0.004379  | 0.005551  | 0.005403  | 0.006988  | 0.005586  | 0.025419  |        | 0.036645  |       | 0.004639  | 0.634748  | 0.238613  | MGAB          |
-| MSL           | 0.653967  | 0.514630  | 0.492975  | 0.142125  | 0.326973  | 0.412021  | 0.309296  |        | 0.405174  |       | 0.327778  | 0.487796  | 0.303536  | MSL           |
-| NEK           | 0.628709  | 0.678337  | 0.880822  | 0.868114  | 0.756555  | 0.884225  | 0.704672  |        | 0.298379  |       | 0.392335  | 0.597690  | 0.162564  | NEK           |
-| LTDB          | 0.510507  | 0.566359  | 0.534873  | 0.512266  | 0.406171  | 0.524763  | 0.329828  |        | 0.835553  |       | 0.256447  | 0.409530  | 0.692355  | LTDB          |
-| MITDB         | 0.320425  | 0.159042  | 0.323526  | 0.158357  | 0.143632  | 0.163465  | 0.112398  |        | 0.590892  |       | 0.053749  | 0.367125  | 0.548995  | MITDB         |
-| SED           | 0.040176  | 0.807209  | 0.030270  | 0.053374  | 0.058416  | 0.055985  | 0.056562  |        | 0.895291  |       | 0.111105  | 0.253420  | 0.882987  | SED           |
-| Daphnet       | 0.519516  | 0.518905  | 0.441568  | 0.122992  | 0.398456  | 0.123026  | 0.133080  |        | 0.039747  |       | 0.134804  | 0.253956  | 0.035185  | Daphnet       |
-| SWaT          | 0.103364  | 0.368230  | 0.375512  | 0.365922  | 0.680748  | 0.366250  | 0.669824  |        | 0.111519  |       | 0.121168  | 0.113915  | 0.110850  | SWaT          |
-| Power         | 0.122294  | 0.076373  | 0.079616  | 0.067090  | 0.075487  | 0.067090  | 0.067250  |        | 0.524166  |       | 0.090503  | 0.160858  | 0.166562  | Power         |
-| CATSv2        | 0.232252  | 0.105175  | 0.232417  | 0.406831  | 0.288293  | 0.282282  | 0.329056  |        | 0.229268  |       | 0.063826  | 0.393045  | 0.354730  | CATSv2        |
-| **Insgesamt** | **0.521** | **0.484** | **0.545** | **0.461** | **0.395** | **0.467** | **0.358** |        | **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  |       | 0.137760  | 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** |
 
 # POLY:
 + Prozessor: CPU
@@ -237,6 +237,50 @@
 		+ MGAB: 0.004336
 	+ nach VUS-PR:
 		+ MGAB: 0.004379 (vgl. MGAB 0.00)
+
+# Sub-iForest
++ Prozessor: CPU
+	+ Modell: iCore 5 8th
+	+ Anzahl Kerne: 6 
+	+ Taktfrequenz: 3.00 GHz
++ Nutzung mehrerer Kerne: Ja
+
+**Evaluation:**
++ Durchschnitt Gesamt:
+	+ Recall: 
+	+ Precision: 
+	+ Standard-F1:  (vgl. , , $\approx$  %)
+	+ Auc-Roc:  (vgl. , + , $\approx$  %)
+	+ Auc-PR:  (vgl. , +, $\approx$ %)
+	+ Vus-PR:  (vgl. , + , $\approx$  %)
++ Durchschnitt Punktanomalien:
+	+ Recall:
+	+ Precision:
+	+ Standard-F1: 
+	+ Auc-Roc: 
+	+ Auc-PR: 
+	+ Vus-PR: 
++ Durchschnitt Sequenzanomalien:
+	+ Recall: 
+	+ Precision: 
+	+ Standard-F1:
+	+ Auc-Roc:
+	+ Auc-PR: 
+	+ Vus-PR: 
+
+**Bemerkung:**
++ Deutlich besser bei -anomalien
++ Beste erkannte Gruppe: 
+	+ nach AUC-PR:
+		+
+	+ nach VUS-PR:
+		+ 
++ Schlechteste erkannte Gruppe: 
+	+ nach AUC-PR: 
+		+ 
+	+ nach VUS-PR:
+		+ 
+
 # Sub-PCA
 + Prozessor: CPU
 	+ Modell: iCore 5 8th
@@ -483,39 +527,66 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 
 **Evaluation:**
 + Durchschnitt Gesamt:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:  (vgl. 0.39)
-	+ Auc-Roc:  (vgl. 0.74)
-	+ Auc-PR:  (vgl. 0.35)
-	+ Vus-PR:  (vgl. 0.40)
+	+ Recall: 0.247
+	+ Precision: 0.205
+	+ Standard-F1: 0.425 (vgl. 0.39, + 0.035, $\approx$ 9.0 %)
+	+ Auc-Roc: 0.757 (vgl. 0.74, + 0.17, ,$\approx$ 2.3 %)
+	+ Auc-PR: 0.383 (vgl. 0.35, + 0.033, $\approx$ 9.4 %)
+	+ Vus-PR: 0.423 (vgl. 0.40, + 0.023, $\approx$ 5.8 %)
 + Durchschnitt Punktanomalien:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:
-	+ Auc-Roc:
-	+ Auc-PR:
-	+ Vus-PR:
+	+ Recall: 0.262
+	+ Precision: 0.019
+	+ Standard-F1: 0.321
+	+ Auc-Roc: 0.682
+	+ Auc-PR: 0.293
+	+ Vus-PR: 0.495
 + Durchschnitt Sequenzanomalien:
-	+ Recall:
-	+ Precision:
-	+ Standard-F1:
-	+ Auc-Roc:
-	+ Auc-PR:
-	+ Vus-PR:
+	+ Recall: 0.161
+	+ Precision: 0.302
+	+ Standard-F1: 0.453
+	+ Auc-Roc: 0.760
+	+ Auc-PR: 0.396
+	+ Vus-PR: 0.411
 	
 **Bemerkung:**
-+ Deutlich besser bei _anomalien
++ Deutlich besser bei Sequenzanomalien nach AUC-PR, nach VUS-PR bei Punktanomalien
++ In allen Metriken (außer VUS-PR) im Schnitt besser bei Sequenzanomalien
++ Starke Unterschiede zw. AUC-PR und VUS-PR bei Stock, TODS, TAO
++ Starke Abweichung zw. Ergebnissen in VUS-PR bei TAO zu den Autoren und unseren
 + Beste erkannte Gruppe: 
 	+ nach AUC-PR:
-		+ 
+		+ SVDB: 0.798760 (TAO: 0.103834, SED: 0.722020)
 	+ nach VUS-PR:
-		+ (vgl. TAO 0.91)
+		+ SED:  0.907086 (vgl. 0.89; SVDB: 0.810962, vgl. SVDB: 0.82; TAO: 0.721004, vgl. TAO 0.91)
 + Schlechteste erkannte Gruppe: 
 	+ nach AUC-PR: 
-		+ 
+		+ Daphnet: 0.033420 (MGAB: 0.084411)
 	+ nach VUS-PR:
-		+  (vgl. MGAB 0.02)
+		+ Daphnet: 0.035690 (vgl. Daphnet: 0.04; MGAB: 0.069759, vgl. MGAB 0.02)
+
+**TAO DATENSATZ**
+*Optimale Hyperparameter der Autoren:*
++ {'periodicity': 1}
+*Hyperparameter nach Tuning pro Datensatz V1:*
++ {'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
+
+**Ergebnisse mit optimalen Hyperparametern der Autoren:**	
++ Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, 
+	+ AUC-PR: 0.0983782436258824
+	+ VUS-PR: 0.8871743329644867
++ Datei: 258_TAO_id_2_Environment_tr_500_1st_4.csv, 
+	+ AUC-PR: 0.14906529874605562
+	+ VUS-PR: 0.9406478652985084
++ Datei: 259_TAO_id_3_Environment_tr_500_1st_7.csv, 
+	+ AUC-PR: 0.04592060635184418
+	+ VUS-PR: 0.2505436799139267
++ Durchschnittlicher AUC-PR: 0.09778804957459407
++ Durchschnittlicher VUS-PR: 0.6927886260589741
+
+$\rightarrow$ Ergebnisse mit den optimalen Hyperparametern der Autoren noch schlechter bei TAO als mit der Grid-Search pro Zeitserie
+
 # kMeansAD
 + Prozessor: CPU
 	+ Modell: iCore 5 8th
@@ -610,7 +681,7 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 	+ Vus-PR:
 
 **Bemerkung:**
-+ Deutlich besser bei -anomalien
++ Deutlich besser bei 
 + Beste erkannte Gruppe: 
 	+ nach AUC-PR:
 		+ 
@@ -763,7 +834,7 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 	+ Taktfrequenz: 3.00 GHz
 + Nutzung mehrerer Kerne: Ja
 
-**Evaluation:**
+**Evaluation V1:**
 + Durchschnitt Gesamt:
 	+ Recall: 0.271
 	+ Precision: 0.229
@@ -785,8 +856,31 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 	+ Auc-Roc: 0.772
 	+ Auc-PR: 0.364
 	+ Vus-PR: 0.399
-
-**Bemerkung:**
+	
+**Evaluation V2:**
++ Durchschnitt Gesamt:
+	+ Recall: 
+	+ Precision: 
+	+ Standard-F1:  (vgl. 0.34, + , $\approx$  %)
+	+ Auc-Roc:  (vgl. 0.76, + , $\approx$  %)
+	+ Auc-PR:  (vgl. 0.27, + , $\approx$  %)
+	+ Vus-PR:  (vgl. 0.35, + , $\approx$  %)
++ Durchschnitt Punktanomalien:
+	+ Recall: 
+	+ Precision: 
+	+ Standard-F1:
+	+ Auc-Roc: 
+	+ Auc-PR:
+	+ Vus-PR: 
++ Durchschnitt Sequenzanomalien:
+	+ Recall: 
+	+ Precision: 
+	+ Standard-F1: 
+	+ Auc-Roc: 
+	+ Auc-PR: 
+	+ Vus-PR: 
+	+ 
+**Bemerkung V1:**
 + Deutlich besser bei Sequenzanomalien
 + Beste erkannte Gruppe: 
 	+ nach AUC-PR:
@@ -804,12 +898,13 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 **TAO DATENSATZ**
 *Optimale Hyperparameter der Autoren:*
 + {'n_neighbors': 50, 'method': 'largest', 'periodicity':2}
-*Hyperparameter nach Tuning pro Datensatz:*
+*Hyperparameter nach Tuning pro Datensatz V1:*
 + {'n_neighbors': 20, 'method': 'median','periodicity':1} ,257_TAO_id_1_Environment_tr_500_1st_3.csv
 + {'n_neighbors': 20, 'method': 'mean','periodicity':1}, 258_TAO_id_2_Environment_tr_500_1st_4.csv
 + {'n_neighbors': 50, 'method': 'largest','periodicity':1}, 259_TAO_id_3_Environment_tr_500_1st_7.csv
 
-**Ergebnisse:**	
+**Ergebnisse V1:**	
+*Mit periodicity=2, aber getunten Methoden*
 + Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, 
 	+ AUC-PR: 0.11646226439911839, 
 	+ VUS-PR: 0.9008211948983802 
@@ -824,7 +919,7 @@ $\rightarrow$ Optimalen Hyperparameter pro Datensatz stimmen mit denen der Autor
 
 $\rightarrow$ VUS-PR dezent besser als bei unserem Test, aber noch stark abweichend von den Autoren durch die andere Periodizität (Fehler unsererseits. die falschen Hyperparameter wurden kopiert). Sonst erhalten wir gleiches Ergebnis.
 
-*Mit periodicity:1*
+*Mit periodicity=1*
 + Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, 
 	+ AUC-PR: 0.12329675188802566, 
 	+ VUS-PR: 0.9079681057410124 
diff --git a/src/models/desi/desi_evaluate_groups.ipynb b/src/models/desi/desi_evaluate_groups.ipynb
index 290d719..debcaf0 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": 164,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -59,153 +59,146 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 10}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>001_NAB_id_1_Facility_tr_1007_1st_2014.csv</td>\n",
-       "      <td>0.653164</td>\n",
+       "      <td>5.479764</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.321899</td>\n",
-       "      <td>0.608477</td>\n",
-       "      <td>0.316988</td>\n",
-       "      <td>0.611647</td>\n",
-       "      <td>0.342408</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.642756</td>\n",
-       "      <td>0.964006</td>\n",
-       "      <td>0.119534</td>\n",
-       "      <td>1.000000</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>{'periodicity': 1, 'n_neighbors': 50}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>002_NAB_id_2_WebService_tr_1500_1st_4106.csv</td>\n",
-       "      <td>1.806566</td>\n",
+       "      <td>4.908555</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.532093</td>\n",
-       "      <td>0.582393</td>\n",
-       "      <td>0.538952</td>\n",
-       "      <td>0.616685</td>\n",
-       "      <td>0.637707</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.530904</td>\n",
-       "      <td>0.995618</td>\n",
-       "      <td>0.270016</td>\n",
-       "      <td>1.000000</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 40}</td>\n",
+       "      <td>{'periodicity': 3}</td>\n",
        "      <td>003_NAB_id_3_WebService_tr_1362_1st_1462.csv</td>\n",
-       "      <td>2.038316</td>\n",
+       "      <td>8.295331</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.134022</td>\n",
-       "      <td>0.522890</td>\n",
-       "      <td>0.139534</td>\n",
-       "      <td>0.529691</td>\n",
-       "      <td>0.190514</td>\n",
-       "      <td>0.939543</td>\n",
-       "      <td>0.244131</td>\n",
-       "      <td>0.151951</td>\n",
-       "      <td>0.682496</td>\n",
-       "      <td>0.016415</td>\n",
-       "      <td>0.126263</td>\n",
+       "      <td>0.078955</td>\n",
+       "      <td>0.416574</td>\n",
+       "      <td>0.080216</td>\n",
+       "      <td>0.422209</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 50}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>004_NAB_id_4_Facility_tr_1007_1st_1437.csv</td>\n",
-       "      <td>0.926782</td>\n",
+       "      <td>2.563025</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.515828</td>\n",
-       "      <td>0.788997</td>\n",
-       "      <td>0.520351</td>\n",
-       "      <td>0.804107</td>\n",
-       "      <td>0.508470</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.627049</td>\n",
-       "      <td>0.988360</td>\n",
-       "      <td>0.310945</td>\n",
-       "      <td>1.000000</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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>{'periodicity': 1, 'n_neighbors': 50}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>005_NAB_id_5_Traffic_tr_594_1st_1645.csv</td>\n",
-       "      <td>0.726600</td>\n",
+       "      <td>1.041672</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.074486</td>\n",
-       "      <td>0.369671</td>\n",
-       "      <td>0.077129</td>\n",
-       "      <td>0.382665</td>\n",
-       "      <td>0.181886</td>\n",
-       "      <td>0.810903</td>\n",
-       "      <td>0.181262</td>\n",
-       "      <td>0.435004</td>\n",
-       "      <td>0.670916</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</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",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                                  params  \\\n",
-       "0  {'periodicity': 3, 'n_neighbors': 10}   \n",
-       "1  {'periodicity': 1, 'n_neighbors': 50}   \n",
-       "2  {'periodicity': 3, 'n_neighbors': 40}   \n",
-       "3  {'periodicity': 3, 'n_neighbors': 50}   \n",
-       "4  {'periodicity': 1, 'n_neighbors': 50}   \n",
+       "               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",
        "\n",
-       "                                      file_name  duration group  \\\n",
-       "0    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  0.653164   NAB   \n",
-       "1  002_NAB_id_2_WebService_tr_1500_1st_4106.csv  1.806566   NAB   \n",
-       "2  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  2.038316   NAB   \n",
-       "3    004_NAB_id_4_Facility_tr_1007_1st_1437.csv  0.926782   NAB   \n",
-       "4      005_NAB_id_5_Traffic_tr_594_1st_1645.csv  0.726600   NAB   \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",
        "\n",
-       "   point anomaly  seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  \\\n",
-       "0          False         True  0.321899  0.608477  0.316988  0.611647   \n",
-       "1          False        False  0.532093  0.582393  0.538952  0.616685   \n",
-       "2          False         True  0.134022  0.522890  0.139534  0.529691   \n",
-       "3          False        False  0.515828  0.788997  0.520351  0.804107   \n",
-       "4          False        False  0.074486  0.369671  0.077129  0.382665   \n",
-       "\n",
-       "   Standard-F1     PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
-       "0     0.342408  1.000000        1.000000    0.642756       0.964006  0.119534   \n",
-       "1     0.637707  1.000000        1.000000    0.530904       0.995618  0.270016   \n",
-       "2     0.190514  0.939543        0.244131    0.151951       0.682496  0.016415   \n",
-       "3     0.508470  1.000000        1.000000    0.627049       0.988360  0.310945   \n",
-       "4     0.181886  0.810903        0.181262    0.435004       0.670916  0.000000   \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",
        "\n",
        "   Precision  \n",
-       "0   1.000000  \n",
-       "1   1.000000  \n",
-       "2   0.126263  \n",
-       "3   1.000000  \n",
-       "4   0.000000  "
+       "0        0.0  \n",
+       "1        0.0  \n",
+       "2        0.0  \n",
+       "3        0.0  \n",
+       "4        0.0  "
       ]
      },
-     "execution_count": 164,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
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    ],
    "source": [
     "#Dataframe erstellen\n",
-    "model = 'Sub-LOF'\n",
+    "model = 'KShapeAD'\n",
     "path = '../../../docs/evaluation/'+model+'.csv'\n",
     "df = pd.read_csv(path)\n",
     "df.head()\n",
@@ -214,7 +207,7 @@
   },
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    "cell_type": "code",
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+   "execution_count": 3,
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        "Name: count, dtype: int64"
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-     "execution_count": 165,
+     "execution_count": 3,
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   },
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   },
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-   "execution_count": 180,
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         "title": {
-         "text": "<b> Vergleich der Metriken zwischen den Gruppen für Sub-LOF </b>",
+         "text": "<b> Vergleich der Metriken zwischen den Gruppen für KShapeAD </b>",
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    ],
    "source": [
     "#Boxplot\n",
-    "metric = 'VUS-PR'\n",
+    "metric = 'AUC-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",
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   },
   {
    "cell_type": "code",
-   "execution_count": 181,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
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        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 10}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>001_NAB_id_1_Facility_tr_1007_1st_2014.csv</td>\n",
-       "      <td>0.653164</td>\n",
+       "      <td>5.479764</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.321899</td>\n",
-       "      <td>0.608477</td>\n",
-       "      <td>0.316988</td>\n",
-       "      <td>0.611647</td>\n",
-       "      <td>0.342408</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.642756</td>\n",
-       "      <td>0.964006</td>\n",
-       "      <td>0.119534</td>\n",
-       "      <td>1.000000</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>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 40}</td>\n",
+       "      <td>{'periodicity': 3}</td>\n",
        "      <td>003_NAB_id_3_WebService_tr_1362_1st_1462.csv</td>\n",
-       "      <td>2.038316</td>\n",
+       "      <td>8.295331</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.134022</td>\n",
-       "      <td>0.522890</td>\n",
-       "      <td>0.139534</td>\n",
-       "      <td>0.529691</td>\n",
-       "      <td>0.190514</td>\n",
-       "      <td>0.939543</td>\n",
-       "      <td>0.244131</td>\n",
-       "      <td>0.151951</td>\n",
-       "      <td>0.682496</td>\n",
-       "      <td>0.016415</td>\n",
-       "      <td>0.126263</td>\n",
+       "      <td>0.078955</td>\n",
+       "      <td>0.416574</td>\n",
+       "      <td>0.080216</td>\n",
+       "      <td>0.422209</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>0.000000</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>{'periodicity': 1, 'n_neighbors': 50}</td>\n",
+       "      <td>{'periodicity': 3}</td>\n",
        "      <td>006_NAB_id_6_Traffic_tr_2579_1st_5839.csv</td>\n",
-       "      <td>3.487413</td>\n",
+       "      <td>6.932669</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.745636</td>\n",
-       "      <td>0.939573</td>\n",
-       "      <td>0.772883</td>\n",
-       "      <td>0.969517</td>\n",
-       "      <td>0.715239</td>\n",
-       "      <td>0.961269</td>\n",
-       "      <td>0.908084</td>\n",
-       "      <td>0.580197</td>\n",
-       "      <td>0.911285</td>\n",
-       "      <td>0.245631</td>\n",
-       "      <td>0.910072</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>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>{'periodicity': 1, 'n_neighbors': 50}</td>\n",
+       "      <td>{'periodicity': 1}</td>\n",
        "      <td>007_NAB_id_7_Traffic_tr_624_1st_2087.csv</td>\n",
-       "      <td>1.600060</td>\n",
+       "      <td>3.026761</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.859281</td>\n",
-       "      <td>0.988414</td>\n",
-       "      <td>0.942440</td>\n",
-       "      <td>0.995564</td>\n",
-       "      <td>0.918514</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>0.927008</td>\n",
-       "      <td>0.952722</td>\n",
-       "      <td>0.141129</td>\n",
-       "      <td>1.000000</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>0.000000</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>{'periodicity': 3, 'n_neighbors': 40}</td>\n",
+       "      <td>{'periodicity': 2}</td>\n",
        "      <td>010_NAB_id_10_WebService_tr_500_1st_271.csv</td>\n",
-       "      <td>1.628332</td>\n",
+       "      <td>1.673692</td>\n",
        "      <td>NAB</td>\n",
        "      <td>False</td>\n",
        "      <td>True</td>\n",
-       "      <td>0.601735</td>\n",
-       "      <td>0.909585</td>\n",
-       "      <td>0.858911</td>\n",
-       "      <td>0.962755</td>\n",
-       "      <td>0.656315</td>\n",
-       "      <td>0.655738</td>\n",
-       "      <td>0.654867</td>\n",
-       "      <td>0.566628</td>\n",
-       "      <td>0.939757</td>\n",
-       "      <td>0.000000</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>0.000000</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>Sequenzeanomalie</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -2891,43 +2884,36 @@
        "</div>"
       ],
       "text/plain": [
-       "                                  params  \\\n",
-       "0  {'periodicity': 3, 'n_neighbors': 10}   \n",
-       "2  {'periodicity': 3, 'n_neighbors': 40}   \n",
-       "5  {'periodicity': 1, 'n_neighbors': 50}   \n",
-       "6  {'periodicity': 1, 'n_neighbors': 50}   \n",
-       "9  {'periodicity': 3, 'n_neighbors': 40}   \n",
-       "\n",
-       "                                      file_name  duration group point anomaly  \\\n",
-       "0    001_NAB_id_1_Facility_tr_1007_1st_2014.csv  0.653164   NAB         False   \n",
-       "2  003_NAB_id_3_WebService_tr_1362_1st_1462.csv  2.038316   NAB         False   \n",
-       "5     006_NAB_id_6_Traffic_tr_2579_1st_5839.csv  3.487413   NAB         False   \n",
-       "6      007_NAB_id_7_Traffic_tr_624_1st_2087.csv  1.600060   NAB         False   \n",
-       "9   010_NAB_id_10_WebService_tr_500_1st_271.csv  1.628332   NAB         False   \n",
+       "               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",
        "\n",
-       "  seq anomaly    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1     PA-F1  \\\n",
-       "0        True  0.321899  0.608477  0.316988  0.611647     0.342408  1.000000   \n",
-       "2        True  0.134022  0.522890  0.139534  0.529691     0.190514  0.939543   \n",
-       "5        True  0.745636  0.939573  0.772883  0.969517     0.715239  0.961269   \n",
-       "6        True  0.859281  0.988414  0.942440  0.995564     0.918514  1.000000   \n",
-       "9        True  0.601735  0.909585  0.858911  0.962755     0.656315  0.655738   \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",
        "\n",
-       "   Event-based-F1  R-based-F1  Affiliation-F    Recall  Precision  \\\n",
-       "0        1.000000    0.642756       0.964006  0.119534   1.000000   \n",
-       "2        0.244131    0.151951       0.682496  0.016415   0.126263   \n",
-       "5        0.908084    0.580197       0.911285  0.245631   0.910072   \n",
-       "6        1.000000    0.927008       0.952722  0.141129   1.000000   \n",
-       "9        0.654867    0.566628       0.939757  0.000000   0.000000   \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",
        "\n",
-       "            anomaly  \n",
-       "0  Sequenzeanomalie  \n",
-       "2  Sequenzeanomalie  \n",
-       "5  Sequenzeanomalie  \n",
-       "6  Sequenzeanomalie  \n",
-       "9  Sequenzeanomalie  "
+       "   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  "
       ]
      },
-     "execution_count": 181,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2942,7 +2928,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 182,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -3002,7 +2988,7 @@
            "NAB"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
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@@ -3044,18 +3030,18 @@
          "x0": " ",
          "xaxis": "x",
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          "y0": " ",
          "yaxis": "y"
@@ -3112,7 +3098,7 @@
            "WSD"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
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@@ -3162,22 +3148,22 @@
          "x0": " ",
          "xaxis": "x",
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-          0.5751950530073919,
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-          0.5794798169549927,
-          0.8376066346578397,
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+          0.4348862741947762,
+          0.0072786051792892,
+          0.0020465926712742,
+          0.0001921277811436,
+          0.0834662530029794,
+          0.0061991739007884,
+          0.0020053363752814,
+          0.1192128272261476,
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+          0.0152894468020548,
+          0.4406961973340506,
+          0.0549985033722748,
+          0.0116241455693966,
+          0.2465903973907245,
+          0.2023049769793997,
+          0.3797092325918696
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          "y0": " ",
          "yaxis": "y"
@@ -3195,7 +3181,7 @@
            "MSL"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
           "MSL",
           "MSL",
@@ -3219,9 +3205,9 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.7483296320266598,
-          0.2118464760690687,
-          0.503212017625898
+          0.2208742315494321,
+          0.2565381964504278,
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          "y0": " ",
          "yaxis": "y"
@@ -3260,7 +3246,7 @@
            "Stock"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
           "Stock",
           "Stock",
@@ -3298,16 +3284,16 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.8599775207922964,
-          0.8099657638270235,
-          0.921762161702618,
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-          0.2584858194809438,
-          0.9611796726520152,
-          0.9754375386835404,
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+          0.0526347926958866,
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+          0.150226418280182,
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          "y0": " ",
          "yaxis": "y"
@@ -3319,7 +3305,7 @@
            "Daphnet"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
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@@ -3339,7 +3325,7 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
-          0.2539555253290684
+          0.0334203029926677
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          "y0": " ",
          "yaxis": "y"
@@ -3372,7 +3358,7 @@
            "MITDB"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
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@@ -3406,14 +3392,14 @@
          "x0": " ",
          "xaxis": "x",
          "y": [
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-          0.2555478145936748,
-          0.3510047644929597,
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-          0.5821460372732854,
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@@ -3464,7 +3450,7 @@
            "SMD"
           ]
          ],
-         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>VUS-PR=%{y}<extra></extra>",
+         "hovertemplate": "<b>%{hovertext}</b><br><br>group=%{customdata[0]}<br>anomaly=%{x}<br>AUC-PR=%{y}<extra></extra>",
          "hovertext": [
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@@ -3510,20 +3496,20 @@
          "x0": " ",
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   },
   {
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-   "execution_count": 183,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
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       "                duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
       "group                                                                           \n",
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-      "Daphnet         6.632036  0.252282  0.905126  0.253956  0.899824     0.406682   \n",
-      "Exathlon        9.833754  0.257618  0.647576  0.262478  0.653360     0.371983   \n",
-      "IOPS           40.815497  0.263492  0.852975  0.380817  0.892852     0.350879   \n",
-      "LTDB           72.072497  0.333160  0.627012  0.409530  0.712029     0.398966   \n",
-      "MGAB           14.901103  0.567335  0.987331  0.634748  0.995269     0.671333   \n",
-      "MITDB        1327.810889  0.385195  0.760688  0.367125  0.827341     0.431379   \n",
-      "MSL             1.503881  0.442670  0.879267  0.544711  0.922678     0.555176   \n",
-      "NAB             1.629958  0.495381  0.730109  0.532450  0.761626     0.544592   \n",
-      "NEK             0.625705  0.554506  0.863816  0.687020  0.911436     0.655181   \n",
-      "OPPORTUNITY     2.531083  0.158653  0.437972  0.149548  0.452675     0.230552   \n",
-      "Power           7.826579  0.175035  0.552633  0.160858  0.573030     0.211897   \n",
-      "SED             7.801529  0.109660  0.605685  0.253420  0.793686     0.216518   \n",
-      "SMAP            1.376011  0.510341  0.828578  0.597854  0.863763     0.595748   \n",
-      "SMD             3.926767  0.486307  0.857014  0.544696  0.868968     0.565768   \n",
-      "SVDB           87.218147  0.356140  0.720499  0.383000  0.776552     0.422369   \n",
-      "SWaT          183.587712  0.113563  0.375616  0.113915  0.377762     0.220540   \n",
-      "Stock          79.056635  0.115033  0.600040  0.747567  0.889482     0.190880   \n",
-      "TAO            39.657654  0.139803  0.612240  0.807694  0.892831     0.223327   \n",
-      "TODS            7.598674  0.166507  0.676933  0.691125  0.887259     0.270928   \n",
-      "UCR            31.333646  0.495182  0.917224  0.514326  0.946238     0.551956   \n",
-      "WSD             3.365790  0.539254  0.959885  0.551041  0.977565     0.594305   \n",
-      "YAHOO           0.776184  0.150503  0.916171  0.451001  0.930039     0.237975   \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",
       "\n",
       "                PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                        \n",
-      "CATSv2       0.674950        0.575705    0.232829       0.751034  0.310946   \n",
-      "Daphnet      0.666667        0.420230    0.322369       0.830045  0.117953   \n",
-      "Exathlon     0.800635        0.526162    0.317170       0.804928  0.041724   \n",
-      "IOPS         0.620676        0.387128    0.365823       0.877418  0.356618   \n",
-      "LTDB         0.678791        0.522393    0.319594       0.789237  0.065606   \n",
-      "MGAB         0.712791        0.688846    0.689193       0.960863  0.775952   \n",
-      "MITDB        0.823174        0.687269    0.361808       0.907308  0.267250   \n",
-      "MSL          0.918910        0.757484    0.478641       0.934923  0.289677   \n",
-      "NAB          0.954451        0.885003    0.529483       0.939654  0.148962   \n",
-      "NEK          0.876030        0.783539    0.670862       0.953170  0.246789   \n",
-      "OPPORTUNITY  0.938092        0.823990    0.316216       0.927716  0.123624   \n",
-      "Power        0.913381        0.519774    0.290669       0.782209  0.096000   \n",
-      "SED          0.307548        0.219303    0.070964       0.835491  0.082465   \n",
-      "SMAP         0.842265        0.737461    0.535060       0.965606  0.524001   \n",
-      "SMD          0.838555        0.715433    0.487338       0.936624  0.569888   \n",
-      "SVDB         0.815126        0.696453    0.372470       0.913591  0.320710   \n",
-      "SWaT         0.963075        0.295203    0.095314       0.705366  0.009042   \n",
-      "Stock        0.171946        0.170557    0.114896       0.677843  0.004799   \n",
-      "TAO          0.224187        0.221474    0.232479       0.681972  0.017645   \n",
-      "TODS         0.414800        0.246763    0.247089       0.752759  0.058744   \n",
-      "UCR          0.804651        0.709924    0.505175       0.943542  0.761255   \n",
-      "WSD          0.718254        0.672151    0.612024       0.973103  0.798756   \n",
-      "YAHOO        0.238365        0.219175    0.251613       0.912850  0.564290   \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",
       "\n",
       "             Precision  \n",
       "group                   \n",
-      "CATSv2        0.952401  \n",
-      "Daphnet       0.407186  \n",
-      "Exathlon      0.268818  \n",
-      "IOPS          0.232859  \n",
-      "LTDB          0.528795  \n",
-      "MGAB          0.555421  \n",
-      "MITDB         0.506898  \n",
-      "MSL           0.468071  \n",
-      "NAB           0.637919  \n",
-      "NEK           0.611677  \n",
-      "OPPORTUNITY   0.407288  \n",
-      "Power         0.362720  \n",
-      "SED           0.173993  \n",
-      "SMAP          0.511394  \n",
-      "SMD           0.423607  \n",
-      "SVDB          0.529825  \n",
-      "SWaT          0.055148  \n",
-      "Stock         0.191968  \n",
-      "TAO           0.224967  \n",
-      "TODS          0.205223  \n",
-      "UCR           0.238402  \n",
-      "WSD           0.265358  \n",
-      "YAHOO         0.068880  \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",
+      "SWaT          0.000000  \n",
+      "Stock         0.010490  \n",
+      "TAO           0.000000  \n",
+      "TODS          0.538600  \n",
+      "UCR           0.177598  \n",
+      "WSD           0.006061  \n",
+      "YAHOO         0.019690  \n"
      ]
     }
    ],
@@ -5568,15 +5554,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 184,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Gesamtdauer Training in s: 18505.362, in min: 308.423, in h: 5.140\n",
-      "Durchschnittliches Training pro Datei in s: 46.613\n"
+      "Gesamtdauer Training in s: 12758.542, in min: 212.642, in h: 3.544\n",
+      "Durchschnittliches Training pro Datei in s: 32.137\n"
      ]
     }
    ],
@@ -5595,15 +5581,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 185,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Durchschnittle Gesamt-Performanz des Modells: Sub-LOF\n",
-      "Recall: 0.420, Precision: 0.345, F1: 0.450, Auc-Roc: 0.794, Auc-PR: 0.374, Vus-PR: 0.473\n"
+      "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"
      ]
     }
    ],
@@ -5622,7 +5608,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 186,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -5630,8 +5616,8 @@
      "output_type": "stream",
      "text": [
       "Anzahl an Datensätzen mit Punktanomalien:  55\n",
-      "Durchschnittle Gesamt-Performanz des Modells: Sub-LOF\n",
-      "Recall: 0.433, Precision: 0.077, F1: 0.207, Auc-Roc: 0.831, Auc-PR: 0.131, Vus-PR: 0.514\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"
      ]
     }
    ],
@@ -5653,7 +5639,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 187,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -5662,33 +5648,33 @@
      "text": [
       "        duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
       "group                                                                   \n",
-      "IOPS   12.568524  0.121683  0.752821  0.327754  0.766857     0.305542   \n",
-      "Stock  79.056635  0.115033  0.600040  0.747567  0.889482     0.190880   \n",
-      "TAO    39.720064  0.145212  0.623099  0.755775  0.865220     0.234609   \n",
-      "TODS   11.743374  0.077775  0.576626  0.849582  0.910985     0.123648   \n",
-      "UCR    45.350693  0.040927  0.712320  0.208122  0.944659     0.073704   \n",
-      "WSD     2.786840  0.327958  0.970473  0.140331  0.971781     0.317294   \n",
-      "YAHOO   0.800434  0.141987  0.958061  0.475296  0.973913     0.226614   \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",
       "\n",
       "          PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                  \n",
-      "IOPS   0.573289        0.060249    0.089617       0.899868  0.250555   \n",
-      "Stock  0.171946        0.170557    0.114896       0.677843  0.004799   \n",
-      "TAO    0.235108        0.233242    0.269589       0.683937  0.019654   \n",
-      "TODS   0.123579        0.121521    0.169499       0.671932  0.006386   \n",
-      "UCR    0.073547        0.073547    0.089822       0.837652  0.600000   \n",
-      "WSD    0.357784        0.312380    0.325541       0.853444  0.500000   \n",
-      "YAHOO  0.195229        0.192963    0.246578       0.923807  0.620430   \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",
       "\n",
       "       Precision  \n",
       "group             \n",
-      "IOPS    0.008455  \n",
-      "Stock   0.191968  \n",
-      "TAO     0.255172  \n",
-      "TODS    0.166667  \n",
-      "UCR     0.002503  \n",
-      "WSD     0.166667  \n",
-      "YAHOO   0.030575  \n"
+      "IOPS    0.000000  \n",
+      "Stock   0.010490  \n",
+      "TAO     0.000000  \n",
+      "TODS    0.111111  \n",
+      "UCR     0.000000  \n",
+      "WSD     0.000000  \n",
+      "YAHOO   0.019426  \n"
      ]
     }
    ],
@@ -5700,7 +5686,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 188,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -5708,8 +5694,8 @@
      "output_type": "stream",
      "text": [
       "Anzahl an Datensätzen mit Sequenzanomalien:  158\n",
-      "Durchschnittle Gesamt-Performanz des Modells: Sub-LOF\n",
-      "Recall: 0.261, Precision: 0.397, F1: 0.418, Auc-Roc: 0.726, Auc-PR: 0.330, Vus-PR: 0.393\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"
      ]
     }
    ],
@@ -5731,7 +5717,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 189,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -5740,72 +5726,72 @@
      "text": [
       "                duration    AUC-PR   AUC-ROC    VUS-PR   VUS-ROC  Standard-F1  \\\n",
       "group                                                                           \n",
-      "CATSv2        298.530087  0.511976  0.740398  0.393045  0.760152     0.575803   \n",
-      "Daphnet         6.632036  0.252282  0.905126  0.253956  0.899824     0.406682   \n",
-      "Exathlon        9.833754  0.257618  0.647576  0.262478  0.653360     0.371983   \n",
-      "IOPS          104.031703  0.157124  0.953948  0.258387  0.945881     0.220766   \n",
-      "LTDB           72.072497  0.333160  0.627012  0.409530  0.712029     0.398966   \n",
-      "MGAB           14.901103  0.567335  0.987331  0.634748  0.995269     0.671333   \n",
-      "MITDB        1327.810889  0.385195  0.760688  0.367125  0.827341     0.431379   \n",
-      "MSL             1.726543  0.368527  0.849005  0.487796  0.891995     0.522580   \n",
-      "NAB             1.640911  0.457316  0.746045  0.511944  0.775067     0.488274   \n",
-      "NEK             0.715299  0.433487  0.762823  0.597690  0.848369     0.528069   \n",
-      "OPPORTUNITY     2.691558  0.154555  0.484578  0.139082  0.505887     0.220768   \n",
-      "Power           7.826579  0.175035  0.552633  0.160858  0.573030     0.211897   \n",
-      "SED             7.801529  0.109660  0.605685  0.253420  0.793686     0.216518   \n",
-      "SMAP            1.277826  0.488277  0.860380  0.599966  0.869912     0.782205   \n",
-      "SMD             4.403478  0.339639  0.770853  0.457631  0.798094     0.444277   \n",
-      "SVDB           90.312594  0.329395  0.705861  0.359030  0.764855     0.403135   \n",
-      "SWaT          183.587712  0.113563  0.375616  0.113915  0.377762     0.220540   \n",
-      "TODS            3.880994  0.240756  0.780922  0.600606  0.914545     0.405820   \n",
-      "WSD             3.245855  0.452830  0.945897  0.608260  0.966831     0.509535   \n",
-      "YAHOO           0.599573  0.242005  0.467560  0.188491  0.459251     0.324732   \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",
       "\n",
       "                PA-F1  Event-based-F1  R-based-F1  Affiliation-F    Recall  \\\n",
       "group                                                                        \n",
-      "CATSv2       0.674950        0.575705    0.232829       0.751034  0.310946   \n",
-      "Daphnet      0.666667        0.420230    0.322369       0.830045  0.117953   \n",
-      "Exathlon     0.800635        0.526162    0.317170       0.804928  0.041724   \n",
-      "IOPS         0.393792        0.277938    0.292347       0.801305  0.221409   \n",
-      "LTDB         0.678791        0.522393    0.319594       0.789237  0.065606   \n",
-      "MGAB         0.712791        0.688846    0.689193       0.960863  0.775952   \n",
-      "MITDB        0.823174        0.687269    0.361808       0.907308  0.267250   \n",
-      "MSL          0.855192        0.577240    0.438985       0.862120  0.034389   \n",
-      "NAB          0.937512        0.845035    0.528333       0.907974  0.094061   \n",
-      "NEK          0.834592        0.765443    0.642710       0.927434  0.192977   \n",
-      "OPPORTUNITY  0.905013        0.790889    0.297577       0.904926  0.131947   \n",
-      "Power        0.913381        0.519774    0.290669       0.782209  0.096000   \n",
-      "SED          0.307548        0.219303    0.070964       0.835491  0.082465   \n",
-      "SMAP         0.949404        0.594994    0.695806       0.928424  0.474002   \n",
-      "SMD          0.706484        0.520657    0.432145       0.882673  0.476923   \n",
-      "SVDB         0.805395        0.680477    0.362640       0.909054  0.289940   \n",
-      "SWaT         0.963075        0.295203    0.095314       0.705366  0.009042   \n",
-      "TODS         0.565282        0.389080    0.344613       0.861731  0.075780   \n",
-      "WSD          0.639516        0.586780    0.547176       0.979343  0.786214   \n",
-      "YAHOO        0.651351        0.455338    0.304982       0.813197  0.133058   \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",
       "\n",
       "             Precision  \n",
       "group                   \n",
-      "CATSv2        0.952401  \n",
-      "Daphnet       0.407186  \n",
-      "Exathlon      0.268818  \n",
-      "IOPS          0.129630  \n",
-      "LTDB          0.528795  \n",
-      "MGAB          0.555421  \n",
-      "MITDB         0.506898  \n",
-      "MSL           0.328403  \n",
-      "NAB           0.593864  \n",
-      "NEK           0.560389  \n",
-      "OPPORTUNITY   0.355430  \n",
-      "Power         0.362720  \n",
-      "SED           0.173993  \n",
-      "SMAP          0.478988  \n",
-      "SMD           0.361177  \n",
-      "SVDB          0.529653  \n",
-      "SWaT          0.055148  \n",
-      "TODS          0.220881  \n",
-      "WSD           0.272025  \n",
-      "YAHOO         0.462963  \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",
+      "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",
+      "SWaT          0.000000  \n",
+      "TODS          0.524876  \n",
+      "WSD           0.010823  \n",
+      "YAHOO         0.000000  \n"
      ]
     }
    ],
@@ -5824,7 +5810,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 190,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -5868,210 +5854,210 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>CATSv2</th>\n",
-       "      <td>0.511976</td>\n",
-       "      <td>0.740398</td>\n",
-       "      <td>0.393045</td>\n",
-       "      <td>0.575803</td>\n",
-       "      <td>0.310946</td>\n",
-       "      <td>0.952401</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Daphnet</th>\n",
-       "      <td>0.252282</td>\n",
-       "      <td>0.905126</td>\n",
-       "      <td>0.253956</td>\n",
-       "      <td>0.406682</td>\n",
-       "      <td>0.117953</td>\n",
-       "      <td>0.407186</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Exathlon</th>\n",
-       "      <td>0.257618</td>\n",
-       "      <td>0.647576</td>\n",
-       "      <td>0.262478</td>\n",
-       "      <td>0.371983</td>\n",
-       "      <td>0.041724</td>\n",
-       "      <td>0.268818</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>IOPS</th>\n",
-       "      <td>0.263492</td>\n",
-       "      <td>0.852975</td>\n",
-       "      <td>0.380817</td>\n",
-       "      <td>0.350879</td>\n",
-       "      <td>0.356618</td>\n",
-       "      <td>0.232859</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>LTDB</th>\n",
-       "      <td>0.333160</td>\n",
-       "      <td>0.627012</td>\n",
-       "      <td>0.409530</td>\n",
-       "      <td>0.398966</td>\n",
-       "      <td>0.065606</td>\n",
-       "      <td>0.528795</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MGAB</th>\n",
-       "      <td>0.567335</td>\n",
-       "      <td>0.987331</td>\n",
-       "      <td>0.634748</td>\n",
-       "      <td>0.671333</td>\n",
-       "      <td>0.775952</td>\n",
-       "      <td>0.555421</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MITDB</th>\n",
-       "      <td>0.385195</td>\n",
-       "      <td>0.760688</td>\n",
-       "      <td>0.367125</td>\n",
-       "      <td>0.431379</td>\n",
-       "      <td>0.267250</td>\n",
-       "      <td>0.506898</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MSL</th>\n",
-       "      <td>0.442670</td>\n",
-       "      <td>0.879267</td>\n",
-       "      <td>0.544711</td>\n",
-       "      <td>0.555176</td>\n",
-       "      <td>0.289677</td>\n",
-       "      <td>0.468071</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NAB</th>\n",
-       "      <td>0.495381</td>\n",
-       "      <td>0.730109</td>\n",
-       "      <td>0.532450</td>\n",
-       "      <td>0.544592</td>\n",
-       "      <td>0.148962</td>\n",
-       "      <td>0.637919</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>NEK</th>\n",
-       "      <td>0.554506</td>\n",
-       "      <td>0.863816</td>\n",
-       "      <td>0.687020</td>\n",
-       "      <td>0.655181</td>\n",
-       "      <td>0.246789</td>\n",
-       "      <td>0.611677</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>OPPORTUNITY</th>\n",
-       "      <td>0.158653</td>\n",
-       "      <td>0.437972</td>\n",
-       "      <td>0.149548</td>\n",
-       "      <td>0.230552</td>\n",
-       "      <td>0.123624</td>\n",
-       "      <td>0.407288</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Power</th>\n",
-       "      <td>0.175035</td>\n",
-       "      <td>0.552633</td>\n",
-       "      <td>0.160858</td>\n",
-       "      <td>0.211897</td>\n",
-       "      <td>0.096000</td>\n",
-       "      <td>0.362720</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SED</th>\n",
-       "      <td>0.109660</td>\n",
-       "      <td>0.605685</td>\n",
-       "      <td>0.253420</td>\n",
-       "      <td>0.216518</td>\n",
-       "      <td>0.082465</td>\n",
-       "      <td>0.173993</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SMAP</th>\n",
-       "      <td>0.510341</td>\n",
-       "      <td>0.828578</td>\n",
-       "      <td>0.597854</td>\n",
-       "      <td>0.595748</td>\n",
-       "      <td>0.524001</td>\n",
-       "      <td>0.511394</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SMD</th>\n",
-       "      <td>0.486307</td>\n",
-       "      <td>0.857014</td>\n",
-       "      <td>0.544696</td>\n",
-       "      <td>0.565768</td>\n",
-       "      <td>0.569888</td>\n",
-       "      <td>0.423607</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SVDB</th>\n",
-       "      <td>0.356140</td>\n",
-       "      <td>0.720499</td>\n",
-       "      <td>0.383000</td>\n",
-       "      <td>0.422369</td>\n",
-       "      <td>0.320710</td>\n",
-       "      <td>0.529825</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SWaT</th>\n",
-       "      <td>0.113563</td>\n",
-       "      <td>0.375616</td>\n",
-       "      <td>0.113915</td>\n",
-       "      <td>0.220540</td>\n",
-       "      <td>0.009042</td>\n",
-       "      <td>0.055148</td>\n",
+       "      <td>0.458896</td>\n",
+       "      <td>0.799756</td>\n",
+       "      <td>0.381310</td>\n",
+       "      <td>0.629526</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Stock</th>\n",
-       "      <td>0.115033</td>\n",
-       "      <td>0.600040</td>\n",
-       "      <td>0.747567</td>\n",
-       "      <td>0.190880</td>\n",
-       "      <td>0.004799</td>\n",
-       "      <td>0.191968</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TAO</th>\n",
-       "      <td>0.139803</td>\n",
-       "      <td>0.612240</td>\n",
-       "      <td>0.807694</td>\n",
-       "      <td>0.223327</td>\n",
-       "      <td>0.017645</td>\n",
-       "      <td>0.224967</td>\n",
+       "      <td>0.103834</td>\n",
+       "      <td>0.517935</td>\n",
+       "      <td>0.721004</td>\n",
+       "      <td>0.172782</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>TODS</th>\n",
-       "      <td>0.166507</td>\n",
-       "      <td>0.676933</td>\n",
-       "      <td>0.691125</td>\n",
-       "      <td>0.270928</td>\n",
-       "      <td>0.058744</td>\n",
-       "      <td>0.205223</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>UCR</th>\n",
-       "      <td>0.495182</td>\n",
-       "      <td>0.917224</td>\n",
-       "      <td>0.514326</td>\n",
-       "      <td>0.551956</td>\n",
-       "      <td>0.761255</td>\n",
-       "      <td>0.238402</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>WSD</th>\n",
-       "      <td>0.539254</td>\n",
-       "      <td>0.959885</td>\n",
-       "      <td>0.551041</td>\n",
-       "      <td>0.594305</td>\n",
-       "      <td>0.798756</td>\n",
-       "      <td>0.265358</td>\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",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>YAHOO</th>\n",
-       "      <td>0.150503</td>\n",
-       "      <td>0.916171</td>\n",
-       "      <td>0.451001</td>\n",
-       "      <td>0.237975</td>\n",
-       "      <td>0.564290</td>\n",
-       "      <td>0.068880</td>\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",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -6080,32 +6066,32 @@
       "text/plain": [
        "               AUC-PR   AUC-ROC    VUS-PR  Standard-F1    Recall  Precision\n",
        "group                                                                      \n",
-       "CATSv2       0.511976  0.740398  0.393045     0.575803  0.310946   0.952401\n",
-       "Daphnet      0.252282  0.905126  0.253956     0.406682  0.117953   0.407186\n",
-       "Exathlon     0.257618  0.647576  0.262478     0.371983  0.041724   0.268818\n",
-       "IOPS         0.263492  0.852975  0.380817     0.350879  0.356618   0.232859\n",
-       "LTDB         0.333160  0.627012  0.409530     0.398966  0.065606   0.528795\n",
-       "MGAB         0.567335  0.987331  0.634748     0.671333  0.775952   0.555421\n",
-       "MITDB        0.385195  0.760688  0.367125     0.431379  0.267250   0.506898\n",
-       "MSL          0.442670  0.879267  0.544711     0.555176  0.289677   0.468071\n",
-       "NAB          0.495381  0.730109  0.532450     0.544592  0.148962   0.637919\n",
-       "NEK          0.554506  0.863816  0.687020     0.655181  0.246789   0.611677\n",
-       "OPPORTUNITY  0.158653  0.437972  0.149548     0.230552  0.123624   0.407288\n",
-       "Power        0.175035  0.552633  0.160858     0.211897  0.096000   0.362720\n",
-       "SED          0.109660  0.605685  0.253420     0.216518  0.082465   0.173993\n",
-       "SMAP         0.510341  0.828578  0.597854     0.595748  0.524001   0.511394\n",
-       "SMD          0.486307  0.857014  0.544696     0.565768  0.569888   0.423607\n",
-       "SVDB         0.356140  0.720499  0.383000     0.422369  0.320710   0.529825\n",
-       "SWaT         0.113563  0.375616  0.113915     0.220540  0.009042   0.055148\n",
-       "Stock        0.115033  0.600040  0.747567     0.190880  0.004799   0.191968\n",
-       "TAO          0.139803  0.612240  0.807694     0.223327  0.017645   0.224967\n",
-       "TODS         0.166507  0.676933  0.691125     0.270928  0.058744   0.205223\n",
-       "UCR          0.495182  0.917224  0.514326     0.551956  0.761255   0.238402\n",
-       "WSD          0.539254  0.959885  0.551041     0.594305  0.798756   0.265358\n",
-       "YAHOO        0.150503  0.916171  0.451001     0.237975  0.564290   0.068880"
+       "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"
       ]
      },
-     "execution_count": 190,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6118,40 +6104,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 191,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "group\n",
-       "SED            0.109660\n",
-       "SWaT           0.113563\n",
-       "Stock          0.115033\n",
-       "TAO            0.139803\n",
-       "YAHOO          0.150503\n",
-       "OPPORTUNITY    0.158653\n",
-       "TODS           0.166507\n",
-       "Power          0.175035\n",
-       "Daphnet        0.252282\n",
-       "Exathlon       0.257618\n",
-       "IOPS           0.263492\n",
-       "LTDB           0.333160\n",
-       "SVDB           0.356140\n",
-       "MITDB          0.385195\n",
-       "MSL            0.442670\n",
-       "SMD            0.486307\n",
-       "UCR            0.495182\n",
-       "NAB            0.495381\n",
-       "SMAP           0.510341\n",
-       "CATSv2         0.511976\n",
-       "WSD            0.539254\n",
-       "NEK            0.554506\n",
-       "MGAB           0.567335\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",
        "Name: AUC-PR, dtype: float64"
       ]
      },
-     "execution_count": 191,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -6163,40 +6149,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 192,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
        "group\n",
-       "SWaT           0.113915\n",
-       "OPPORTUNITY    0.149548\n",
-       "Power          0.160858\n",
-       "SED            0.253420\n",
-       "Daphnet        0.253956\n",
-       "Exathlon       0.262478\n",
-       "MITDB          0.367125\n",
-       "IOPS           0.380817\n",
-       "SVDB           0.383000\n",
-       "CATSv2         0.393045\n",
-       "LTDB           0.409530\n",
-       "YAHOO          0.451001\n",
-       "UCR            0.514326\n",
-       "NAB            0.532450\n",
-       "SMD            0.544696\n",
-       "MSL            0.544711\n",
-       "WSD            0.551041\n",
-       "SMAP           0.597854\n",
-       "MGAB           0.634748\n",
-       "NEK            0.687020\n",
-       "TODS           0.691125\n",
-       "Stock          0.747567\n",
-       "TAO            0.807694\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",
        "Name: VUS-PR, dtype: float64"
       ]
      },
-     "execution_count": 192,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
diff --git a/src/models/desi/test_hyperparameters.ipynb b/src/models/desi/test_hyperparameters.ipynb
index 65452fe..12eb203 100644
--- a/src/models/desi/test_hyperparameters.ipynb
+++ b/src/models/desi/test_hyperparameters.ipynb
@@ -2,9 +2,18 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CUDA available:  True\n",
+      "cuDNN version:  90100\n"
+     ]
+    }
+   ],
    "source": [
     "import numpy as np\n",
     "\n",
@@ -13,38 +22,38 @@
     "sys.path.append(str(pathlib.Path.absolute)+ '../../../../../')\n",
     "from src.utils.slidingWindows import find_length_rank\n",
     "from src.run_model_wrapper import preprocess_data\n",
-    "from src.models.sofia_modelle.KNN import KNN\n",
-    "from src.evaluation import get_metrics"
+    "from src.evaluation import get_metrics\n",
+    "from SAND import SAND"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Hyperparamater\n",
-    "params =  {'n_neighbors': 50, 'method': 'largest', 'periodicity':1}"
+    "params =  {'periodicity': 1}"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "#Fit Funktion\n",
-    "def run_Sub_KNN(data, n_neighbors=10, method='largest', periodicity=1, n_jobs=1):\n",
+    "def run_KShapeAD(data, periodicity=1):\n",
     "    slidingWindow = find_length_rank(data, rank=periodicity)\n",
-    "    clf = KNN(slidingWindow=slidingWindow, n_neighbors=n_neighbors,method=method, n_jobs=n_jobs)\n",
-    "    clf.fit(data)\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",
     "    return score.ravel()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -54,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +73,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -78,6 +87,46 @@
      "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"
      ]
@@ -93,6 +142,30 @@
      "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"
      ]
@@ -108,6 +181,34 @@
      "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"
      ]
@@ -126,7 +227,7 @@
     "    train_data = time_series['train_data']\n",
     "    \n",
     "    #scores = run_LOF(train_data,data, **params)\n",
-    "    scores = run_Sub_KNN(data, **params)\n",
+    "    scores = run_KShapeAD(data, **params)\n",
     "\n",
     "    slidingWindow = time_series['sliding_window']\n",
     "    metrics = get_metrics(scores, labels=label, slidingWindow=slidingWindow)\n",
@@ -135,18 +236,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Datei: 257_TAO_id_1_Environment_tr_500_1st_3.csv, AUC-PR: 0.12329675188802566, VUS-PR: 0.9079681057410124\n",
-      "Datei: 258_TAO_id_2_Environment_tr_500_1st_4.csv, AUC-PR: 0.15584484586202274, VUS-PR: 0.9463314499613164\n",
-      "Datei: 259_TAO_id_3_Environment_tr_500_1st_7.csv, AUC-PR: 0.03747524809411396, VUS-PR: 0.19297952994706424\n",
-      "Durchschnittlicher AUC-PR:  0.1055389486147208\n",
-      "Durchschnittlicher VUS-PR:  0.682426361883131\n"
+      "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"
      ]
     }
    ],
@@ -168,7 +269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -177,7 +278,7 @@
        "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": 76,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
-- 
GitLab