Table 2.

Comparison of the four used classifiers in terms of precision per gender and F1-score.

Classifier	Precision male	Precision female	F1-score
Support Vector Machine	0.80	0.86	0.83
Decision Tree	0.81	0.80	0.81
Neural Network	0.82	0.83	0.83
Random Forest	0.83	0.88	0.85

Number of examples is denoted by m = 1702. Used features: {q1, q2, ..., q7, q8_5}, test size 20%. Note that the feature labels qx are further explained in Table 3.