Classification Metrics

• AS - Accuracy Score
• CKS - Cohen’s Kappa Score
• F1S - F1 Score
• F2S - F2 Score
• FBS - F-Beta Score
• GINI - Gini Index
• GMS - Geometric Mean Score
• PS - Precision Score
• NPV - Negative Predictive Value
• RS - Recall Score
• SS - Specificity Score
• MCC - Matthews Correlation Coefficient
• ROC AUC Score
• LS - Lift Score
• HML - Hamming Loss
• HGL - Hinge Loss
• JSS - Jaccard Similarity Score
• KLDL - Kullback-Leibler Divergence Loss
• BSL - Brier Score Loss
• CEL - CrossEntropy Loss

All classification metrics

STT	Metric	Metric Fullname	Characteristics
1	PS	Precision Score	Bigger is better (Best = 1), Range = [0, 1]
2	NPV	Negative Predictive Value	Bigger is better (Best = 1), Range = [0, 1]
3	RS	Recall Score	Bigger is better (Best = 1), Range = [0, 1]
4	AS	Accuracy Score	Bigger is better (Best = 1), Range = [0, 1]
5	F1S	F1 Score	Bigger is better (Best = 1), Range = [0, 1]
6	F2S	F2 Score	Bigger is better (Best = 1), Range = [0, 1]
7	FBS	F-Beta Score	Bigger is better (Best = 1), Range = [0, 1]
8	SS	Specificity Score	Bigger is better (Best = 1), Range = [0, 1]
9	MCC	Matthews Correlation Coefficient	Bigger is better (Best = 1), Range = [-1, 1]
11	CKS	Cohen’s kappa score	Bigger is better (Best = 1), Range = [-1, 1]
12	JSI/JSS	Jaccard Similarity Score	Bigger is better (Best = 1), Range = [0, 1]
13	GMS	Geometric Mean Score	Bigger is better (Best = 1), Range = [0, 1]
14	ROC/AUC	ROC / AUC / RAS	Bigger is better (Best = 1), Range = [0, 1]
15	LS	Lift Score	Bigger is better (Unknown), Range = [0, +inf)
16	GINI	GINI Index	Bigger is better (Best = 1), Range = [-1, 1]
17	CEL	Cross Entropy Loss	Smaller is better (Best = 0), Range=[0, +inf)
10	HML	Hamming Loss	Smaller is better (Best = 0), Range = [0, 1]
18	HGL	Hinge Loss	Smaller is better (Best = 0), Range=[0, +inf)
19	KLDL	Kullback Leibler Divergence Loss	Smaller is better (Best = 0), Range=[0, +inf)
20	BSL	Brier Score Loss	Smaller is better (Best = 0), Range=[0, 1]