MODEL PERFORMANCE SUMMARY:
==========================

Area under the ROC curve (auc)           = 0.909
Mean cross-entropy (mxe)                 = 0.380
Precision-recall break-even point (prbe) = 0.859
Root-mean square error (rmse)            = 0.344

Cutoff selected by maximizing the Youden index = 0.619

Confusion matrix for that cutoff:

             Actual 1  Actual 0  Total
Predicted 1       158        19    177
Predicted 0        33       123    156
Total             191       142    333

Model performance statistics for that cutoff:

Accuracy (acc)                                = 0.844
Error rate (err)                              = 0.156
Rate of positive predictions (rpp)            = 0.532
Rate of negative predictions (rnp)            = 0.468

True positive rate (tpr, or sensitivity)      = 0.827
False positive rate (fpr, or fallout)         = 0.134
True negative rate (tnr, or specificity)      = 0.866
False negative rate (fnr, or miss)            = 0.173

Positive prediction value (ppv, or precision) = 0.893
Negative prediction value (npv)               = 0.788
Prediction-conditioned fallout (pcfall)       = 0.107
Prediction-conditioned miss (pcmiss)          = 0.212

Matthews correlation coefficient (mcc)        = 0.687
Odds ratio (odds)                             = 30.995
SAR                                           = 0.699

Cohen's kappa (K)                             = 0.685

