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Table B.1.

Metrics for the main training (first iteration).

Classifier F1 Precision Recall PR AUC bACC
Dummy classifier 0.12 0.12 0.12 0.20 0.50
Logistic regression:
Non-balanced normal 0.61 ± 0.06 0.75 ± 0.09 0.52 ± 0.07 0.65 ± 0.08 0.75 ± 0.04
Class-balanced normal 0.60 ± 0.05 0.49 ± 0.06 0.78 ± 0.07 0.66 ± 0.07 0.83 ± 0.03
Non-balanced fuzzy error 0.61 ± 0.05 0.75 ± 0.07 0.52 ± 0.07 0.66 ± 0.07 0.75 ± 0.03
Class-balanced fuzzy error 0.59 ± 0.05 0.48 ± 0.06 0.78 ± 0.07 0.64 ± 0.08 0.83 ± 0.03
Non-balanced fuzzy distance 0.64 ± 0.05 0.72 ± 0.07 0.57 ± 0.06 0.65 ± 0.07 0.77 ± 0.03
Class-balanced fuzzy distance 0.60 ± 0.06 0.49 ± 0.06 0.78 ± 0.07 0.65 ± 0.08 0.83 ± 0.03
SVM:
Non-balanced normal 0.65 ± 0.06 0.75 ± 0.06 0.58 ± 0.08 0.61 ± 0.08 0.77 ± 0.04
Class-balanced normal 0.67 ± 0.05 0.63 ± 0.07 0.73 ± 0.06 0.65 ± 0.07 0.83 ± 0.03
Non-balanced fuzzy error 0.63 ± 0.06 0.74 ± 0.07 0.56 ± 0.08 0.61 ± 0.08 0.76 ± 0.04
Class-balanced fuzzy error 0.68 ± 0.05 0.64 ± 0.06 0.74 ± 0.07 0.65 ± 0.08 0.84 ± 0.03
Non-balanced fuzzy distance 0.67 ± 0.05 0.75 ± 0.07 0.60 ± 0.07 0.62 ± 0.08 0.79 ± 0.03
Class-balanced fuzzy distance 0.66 ± 0.05 0.60 ± 0.06 0.73 ± 0.05 0.64 ± 0.07 0.83 ± 0.03
Random forest:
Non-balanced normal 0.66 ± 0.06 0.72 ± 0.08 0.61 ± 0.07 0.65 ± 0.09 0.79 ± 0.03
Class-balanced normal 0.64 ± 0.06 0.74 ± 0.07 0.57 ± 0.08 0.65 ± 0.08 0.77 ± 0.04
Non-balanced fuzzy error 0.66 ± 0.05 0.72 ± 0.06 0.62 ± 0.07 0.65 ± 0.07 0.79 ± 0.03
Class-balanced fuzzy error 0.64 ± 0.06 0.74 ± 0.08 0.57 ± 0.07 0.66 ± 0.08 0.77 ± 0.04
Non-balanced fuzzy distance 0.66 ± 0.05 0.73 ± 0.07 0.61 ± 0.07 0.65 ± 0.08 0.79 ± 0.03
Class-balanced fuzzy distance 0.64 ± 0.06 0.74 ± 0.09 0.57 ± 0.06 0.65 ± 0.08 0.77 ± 0.03
Extremely randomized trees:
Non-balanced normal 0.66 ± 0.05 0.74 ± 0.07 0.60 ± 0.07 0.67 ± 0.07 0.78 ± 0.03
Class-balanced normal 0.65 ± 0.06 0.74 ± 0.07 0.59 ± 0.08 0.66 ± 0.08 0.78 ± 0.04
Non-balanced fuzzy error 0.64 ± 0.07 0.73 ± 0.08 0.59 ± 0.08 0.66 ± 0.08 0.78 ± 0.04
Class-balanced fuzzy error 0.64 ± 0.06 0.73 ± 0.07 0.58 ± 0.07 0.65 ± 0.08 0.78 ± 0.04
Non-balanced fuzzy distance 0.66 ± 0.06 0.75 ± 0.07 0.60 ± 0.07 0.66 ± 0.08 0.79 ± 0.04
Class-balanced fuzzy distance 0.65 ± 0.06 0.73 ± 0.08 0.59 ± 0.07 0.65 ± 0.08 0.78 ± 0.03
XGBoost:
Non-balanced normal 0.67 ± 0.06 0.74 ± 0.07 0.62 ± 0.08 0.68 ± 0.08 0.79 ± 0.04
Class-balanced normal 0.68 ± 0.06 0.66 ± 0.08 0.69 ± 0.06 0.67 ± 0.08 0.82 ± 0.03
Non-balanced fuzzy error 0.66 ± 0.06 0.74 ± 0.08 0.60 ± 0.06 0.67 ± 0.07 0.78 ± 0.03
Class-balanced fuzzy error 0.68 ± 0.06 0.66 ± 0.07 0.70 ± 0.08 0.67 ± 0.08 0.82 ± 0.04
Non-balanced fuzzy distance 0.68 ± 0.06 0.74 ± 0.07 0.64 ± 0.08 0.68 ± 0.08 0.80 ± 0.04
Class-balanced fuzzy distance 0.68 ± 0.05 0.65 ± 0.07 0.72 ± 0.06 0.66 ± 0.08 0.83 ± 0.03
Voting schemes:
Stacked classifier 0.66 ± 0.05 0.73 ± 0.08 0.61 ± 0.07 0.68 ± 0.08 0.79 ± 0.03
Hard voter 0.68 0.73 0.64 — 0.80

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