Performance metrics playground

Population structure

Positive samples

{{population.positives}}

Negative samples

{{population.negatives}}

Positives / Population

{{formatted_percentage}}%

Classifier performance on positive samples

True positives

{{true_positives}}

False negatives

{{false_negatives}}

TP / Positives

{{formatted_percentage}}%

Classifier performance on negative samples

True negatives

{{true_negatives}}

False positives

{{false_positives}}

TN / Negatives

{{formatted_percentage}}%

{{percentage('precision')}}%

{{percentage('recall')}}%

{{percentage('specificity')}}%

{{percentage('p4')}}%

{{percentage('f1')}}%

{{percentage('mcc')}}%

{{percentage('youden')}}%

{{percentage('markedness')}}%

{{percentage('npv')}}%

{{percentage('accuracy')}}%

{{percentage('kappa')}}%

Fowlkes-Mallows

{{percentage('fm')}}%

P = {{population_positives}}

N = {{population_negatives}}

FN = {{FN}}

TP = {{TP}}

FP = {{FP}}

TN = {{TN}}

Confusion matrix
Total {{total}}	Actual positives {{population_positives}}	Actual negatives {{population_negatives}}
Predicted positives {{predicted_positives}}	TP {{TP}}	FP {{FP}}
Predicted negatives {{predicted_negatives}}	FN {{FN}}	TN {{TN}}