test hyperparameters from sub-iforest and evaluation

...tion/auc-pr/anomaly/sub_iforest_groups_auc-pr_anomaly.png

...er/evaluation/auc-pr/groups/sub_iforest_groups_auc-pr.png

...on/vus-pr/anomalien/sub_iforest_groups_vus-pr_anomaly.png

...er/evaluation/vus-pr/groups/sub_iforest_groups_vus-pr.png

data/train/temp/149_Stock_id_1_Finance_tr_500_1st_7.csv

data/train/temp/151_Stock_id_3_Finance_tr_500_1st_62.csv

data/train/temp/152_Stock_id_4_Finance_tr_500_1st_2.csv

data/train/temp/155_Stock_id_7_Finance_tr_500_1st_18.csv

data/train/temp/156_Stock_id_8_Finance_tr_500_1st_24.csv

data/train/temp/160_Stock_id_12_Finance_tr_500_1st_14.csv

data/train/temp/161_Stock_id_13_Finance_tr_500_1st_3.csv

data/train/temp/162_Stock_id_14_Finance_tr_500_1st_4.csv

data/train/temp/165_Stock_id_17_Finance_tr_500_1st_7.csv

data/train/temp/166_Stock_id_18_Finance_tr_500_1st_18.csv

docs/evaluation/Reproducibility.md

docs/evaluation/Vergleich der Ergebnisse.md

...evaluation/groupedDataframes/AUC-PR_combined_by_group.csv

...evaluation/groupedDataframes/VUS-PR_combined_by_group.csv

...ion/create_combined_dataframe_with_metrics_and_plot.ipynb

src/group_evaluation/create_heatmap.ipynb