test hyperparameters from sub-iforest and evaluation

docs/evaluation/Reproducibility.md

@@ -78,34 +78,38 @@
 + In einigen Datensätzen bei einigen Modellen sind die Ergebnisse jedoch nicht reproduzierbar, selbst mit den optimalen Hyperparametern der Autoren (meist noch schlechtere Werte). Hier nur Vergleich mit VUS-PR möglich, da zu AUC-PR keine Daten pro Datensatz zu Model.
 	*Missing: Sub-IForest und KNN*
 	*Betreffende Datensätze:*
-	+ **TAO** (Modelle: **PCA**: -0.09; **KShapeAD**: - 0.19; **Poly**: - 0.11; **KMeans**: - 0.17; **IForest**: - 0.26; **Sub-LOF**: - 0.11; **Sub-OCSVM**: - 0.2; **LOF** - 0.2 )
+	+ **TAO** (Modelle: **PCA**: -0.09; **KShapeAD**: - 0.19; **Poly**: - 0.11; **KMeans**: - 0.17; **IForest**: - 0.26; **Sub-LOF**: - 0.11; **Sub-OCSVM**: - 0.2; **LOF** - 0.2, **Sub-IForest**: -0.17; )
 	+ **Stock** (Modelle: **IForest**: - 0.25; )
 	+ **MSL** (Modelle: **KShapeAD**: -0.09; )
 	+ **IOPS**: (Modelle: **IForest**: - 0.15; )
 	+ **SWaT** (Modelle: **IForest**: - 0.13; )
 	+ **Yahoo** (Modelle: **IForest**: - 0.3; )
 	+ **WSD** (Modelle: **IForest**: - 0.11; )
+	+ **SED** (Modelle: **Sub-IForest**: - 0.1; )
+	+ **SMAP** (Modelle: **Sub-IForest**: - 0.11; )
+	+ **TODS** (Modelle: **Sub-IForest**: - 0.16; )
 *Stark Verbesserte Datensätze bei einzelnen Modellen:*
 + **Power** (Modelle: **KShapeAD**: + 0.32; **KMeans**: + 0.13; )
-+ **MSL** (Modelle: **POLY**: + 0.19; **IForest**: + 0.16; **OA**: + 0.18; **Sub-LOF**: + 0.19; )
-+ **OPPORTUNITY** (Modelle: **Poly**: + 0.33; **CNN**: +0.22; **IForest**: + 0.31;)
-+ **Exathlon:** (Modelle: **Poly**: + 0.11; **KMeans**: + 0.21; **IForest**:+ 0.29; **Sub-OCSVM**: + 0.27; )
-+ **NAB** (Modelle: **Poly**: + 0.1; **IForest**: + 0.12; **OA**: + 0.15; **Sub-LOF**: + 0.21; **Sub-OCSVM**: + 0.12; )
-+ **NEK** (Modelle: **Poly**: + 0.15; **KMeans:** + 0.12; **USAD**: + 0.1; **Sub-LOF**: + 0.44; **Sub-OCSVM**: + 0.11; )
++ **MSL** (Modelle: **POLY**: + 0.19; **IForest**: + 0.16; **OA**: + 0.18; **Sub-LOF**: + 0.19; **Sub-IForest**: + 0.12; )
++ **OPPORTUNITY** (Modelle: **Poly**: + 0.33; **CNN**: +0.22; **IForest**: + 0.31; **Sub-IForest**: + 0.69; )
++ **Exathlon:** (Modelle: **Poly**: + 0.11; **KMeans**: + 0.21; **IForest**:+ 0.29; **Sub-OCSVM**: + 0.27; **Sub-IForest**: + 0.47; )
++ **NAB** (Modelle: **Poly**: + 0.1; **IForest**: + 0.12; **OA**: + 0.15; **Sub-LOF**: + 0.21; **Sub-OCSVM**: + 0.12; **Sub-IForest**: + 0.1; )
++ **NEK** (Modelle: **Poly**: + 0.15; **KMeans:** + 0.12; **USAD**: + 0.1; **Sub-LOF**: + 0.44; **Sub-OCSVM**: + 0.11; **Sub-IForest**: + 0.54; )
 + **WSD** (Modelle: **Poly**: + 0.12; **USAD**: + 0.12; **Sub-LOF**: + 0.52; )
 + **LTDB** (Modelle: **KMeans**: + 0.35; **IForest**: + 0.2; **Sub-OCSVM**: + 0.36; )
 + **MITDB** (Modelle: **KMeans**: + 0.32; **Sub-LOF**: + 0.11; **Sub-OCSVM**: + 0.21; )
 + **SVDB** (Modelle: **KMeans**: + 0.37; **IForest**: + 0.22; **OA**: + 0.36; **Sub-LOF**: + 0.2; **Sub-OCSVM**: + 0.39; )
 + **UCR** (Modelle: **KMeans**: + 0.11; **Sub-LOF**: + 0.22; **Sub-OCSVM**: + 0.16; )
-+ **Yahoo** (Modelle: **KMeans**: + 0.23;  **Sub-LOF**: + 0.15; )
-+ **Daphnet** (Modelle: **IForest**: + 0.16; **Sub-LOF**: + 0.21; )
++ **Yahoo** (Modelle: **KMeans**: + 0.23;  **Sub-LOF**: + 0.15; **Sub-IForest**: + 0.1; )
++ **Daphnet** (Modelle: **IForest**: + 0.16; **Sub-LOF**: + 0.21; **Sub-IForest**: +0.46; )
 + **SED** (Modelle: **IForest**: + 0.46; **Sub-OCSVM**: + 0.1; )
 + **Catsv2** (Modelle: **OA**: + 0.16; )
 + **SMAP** (Modelle: **OA**: + 0.27; **Sub-LOF**: + 0.2; )
-+ **SMD** (Modelle: **OA**: + 0.12; **Sub-LOF**: + 0.5; )
++ **SMD** (Modelle: **OA**: + 0.12; **Sub-LOF**: + 0.5; **Sub-IForest**: + 0.26; )
 + **TODS** (Modelle: **OA**: + 0.1; **Sub-LOF**: + 0.16; **Sub-OCSVM**: + 0.1; )
-+ **IOPS** (Modelle: **Sub-LOF**: + 0.27; )
++ **IOPS** (Modelle: **Sub-LOF**: + 0.27; **Sub-IForest**: + 0.12; )
 + **MGAB** (Modelle: **Sub-LOF**: + 0.19; )
++ **SWaT** (Modelle: **Sub-IForest**: + 0.27; )
 ### KShapeAD
 
 

docs/evaluation/groupedDataframes/AUC-PR_combined_by_group.csv

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docs/evaluation/groupedDataframes/VUS-PR_combined_by_group.csv

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