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Table 2 Accuracy measures for simulated data. Accuracy measures obtained with different classification rules for simulated data with 10 variables (simulated independently from a Gaussian distribution with zero mean and unit variance), 1,000 samples and 2 CV folds

From: Joint use of over- and under-sampling techniques and cross-validation for the development and assessment of prediction models

  PA PAmin PAmaj GM F1 AUC
Under (incorrect) 0.5003 0.5015 0.4991 0.4978 0.4996 0.5005
Under (correct) 0.4999 0.5009 0.4998 0.4985 0.1668 0.5003
Over (incorrect) 0.7624 0.8438 0.6809 0.7575 0.7801 0.7986
Over (correct) 0.7191 0.2254 0.7740 0.4151 0.1380 0.5004
100-SM (incorrect) 0.6422 0.7492 0.4281 0.5644 0.7359 0.5858
200-SM (incorrect) 0.6565 0.7462 0.5220 0.6230 0.7224 0.6431
500-SM (incorrect) 0.7012 0.7715 0.6168 0.6892 0.7378 0.7148
100-SM (correct) 0.4520 0.5582 0.4402 0.4940 0.1692 0.4993
200-SM (correct) 0.5294 0.4629 0.5368 0.4966 0.1643 0.4998
500-SM (correct) 0.5997 0.3757 0.6245 0.4824 0.1579 0.5007