ROC curve optimal cutoff AlexNet_transfer_learning = 0.328207 population: 1732 P: 155 N: 1577 PositiveTest: 449 NegativeTest: 1283 TP: 113 TN: 1241 FP: 336 FN: 42 TPR: 0.729032258065 TNR: 0.786937222575 PPV: 0.251670378619 NPV: 0.967264224474 FPR: 0.213062777425 FDR: 0.748329621381 FNR: 0.270967741935 ACC: 0.781755196305 F1_score: 0.37417218543 MCC: 0.33610054069 informedness: 0.515969480639 markedness: 0.218934603093 prevalence: 0.0894919168591 LRP: 3.4216781874 LRN: 0.344332094305 DOR: 9.93714569161 FOR: 0.0327357755261 ROC AUC = 0.836189580052 precision_recall_curve optimal cutoff AlexNet_transfer_learning = 0.489226