Table 5

Experiment 3.1.4—balanced training data with feature selection, sex performance disparities

Random forest classifierLogistic regression classifierSupport vector machineGaussian Naïve Bayes
Sex performance disparities (%)t-test
p value
Sex performance disparities (%)t-test
p value
Sex performance disparities (%)t-test
p value
Sex performance disparities (%)t-test
p value
Accuracy−5.620.00−6.800.00−6.190.00−4.640.00
FScore7.860.0014.390.0016.460.0021.630.00
ROC_AUC−0.05%0.463.57%0.005.95%0.008.17%0.00
Precision4.60%0.009.28%0.0012.82%0.009.35%0.00
Recall9.70%0.0015.51%0.0015.38%0.0022.78%0.00
False negative rate−9.700.00−15.510.00−15.380.00−22.780.00
True negative rate−9.790.00−8.370.00−3.470.00−6.440.00
False positive rate9.790.008.370.003.470.006.440.00
True positive rate9.700.0015.510.0015.380.0022.780.00