1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75
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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
NPV Macro None
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
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