Table
1: Metrics.
Metric 
Description 
Formula 
TPR (sensitivity
or recall) 
True
Positive Rate ·
probability
of a positive test, given a patient ill; ·
measure
of prediction correctness; ·
should
be high. 

PPV (or
precision) 
Positive
Predictive Value ·
the
proportion of the true positives against all the positive results; ·
capacity
of predicting the positives; ·
used
instead of FPR; ·
should
be high. 

Fmeasure 
Fmeasure ·
harmonic
weighted mean between PPV and TPR; ·
close
to 1 = better prediction. 

MCC 
Matthew’s Correlation Coefficient ·
equal
to:  1: false assignments (TN = TP = 0)  0: prediction
not better than random  1: all true
assignments (FP = FN = 0) Set to 0
when denominator = 0 ·
~
geometric mean between TPR and PPV; ·
should
be high. 

TP = True Positive; TN = True Negative; FN = False Negativ;
FP = False Positive