Matrix : Predict 2 Actual 1 2 2 18 Normalized Matrix : Predict 2 Actual 1 1.0 2 1.0 Overall Statistics : ACC Macro 0.9 F1 Macro 0.47368 FPR Macro 0.5 Kappa 0.0 Overall ACC 0.9 PPV Macro None SOA1(Landis & Koch) Slight TPR Macro 0.5 Zero-one Loss 2 Class Statistics : Classes 1 2 ACC(Accuracy) 0.9 0.9 AUC(Area under the ROC curve) 0.5 0.5 AUCI(AUC value interpretation) Poor Poor F1(F1 score - harmonic mean of precision and sensitivity) 0.0 0.94737 FN(False negative/miss/type 2 error) 2 0 FP(False positive/type 1 error/false alarm) 0 2 FPR(Fall-out or false positive rate) 0.0 1.0 N(Condition negative) 18 2 P(Condition positive or support) 2 18 POP(Population) 20 20 PPV(Precision or positive predictive value) None 0.9 TN(True negative/correct rejection) 18 0 TON(Test outcome negative) 20 0 TOP(Test outcome positive) 0 20 TP(True positive/hit) 0 18 TPR(Sensitivity, recall, hit rate, or true positive rate) 0.0 1.0 One-Vs-All : 1-Vs-All : Predict 1 ~ Actual 1 0 2 ~ 0 18 2-Vs-All : Predict 2 ~ Actual 2 18 0 ~ 2 0