Similarities.txt

Classifier F1-scores and their Jaccard similarities::
                             f1_real  f1_fake  jaccard_similarity
index                                                            
DecisionTreeClassifier_fake   0.8959   0.9975              0.8094
DecisionTreeClassifier_real   0.9947   0.9778              0.9572
LogisticRegression_fake       0.8181   0.7816              0.5307
LogisticRegression_real       0.9503   0.7788              0.6838
MLPClassifier_fake            0.8931   0.8944              0.7076
MLPClassifier_real            0.9266   0.9647              0.8935
RandomForestClassifier_fake   0.9156   0.9978              0.8407
RandomForestClassifier_real   0.9950   0.9772              0.9590

Privacy results:
                                               result
Duplicate rows between sets (real/fake)  (0, 0)
nearest neighbor mean                          1.4431
nearest neighbor std                           1.9249

Miscellaneous results:
                                  Result
Column Correlation Distance RMSE  0.1578
Column Correlation distance MAE   0.1009

Results:
                                                result
Basic statistics                                0.9889
Correlation column correlations                 0.8844
Mean Correlation between fake and real columns  0.8497
1 - MAPE Estimator results                      0.9368
Similarity Score                                0.9150