Table 1 Evaluation metrics (mean ± standard deviation) obtained with the proposed procedure by using the UEX database

Gradient Boosting

0.7503 ± 0.0983

0.7683 ± 0.1486

0.7331 ± 0.1697

0.8387 ± 0.0964

Logistic Regression

0.8897 ± 0.0820

0.9007 ± 0.1145

0.8788 ± 0.1324

0.9627 ± 0.0522

Passive Aggressive

0.9205 ± 0.0723

0.9396 ± 0.1005

0.9018 ± 0.1108

0.9756 ± 0.0403

Perceptron

0.9083 ± 0.0781

0.9284 ± 0.1030

0.8881 ± 0.1232

0.9713 ± 0.0457

Random Forest

0.7631 ± 0.1024

0.7666 ± 0.1591

0.7605 ± 0.1486

0.8787 ± 0.0821

SVM

0.9148 ± 0.0853

0.9229 ± 0.1102

0.9076 ± 0.1229

0.9749 ± 0.0483