Performance metrics playground

Binary classifier experiment
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}}%
Precision
{{percentage('precision')}}%
Recall
{{percentage('recall')}}%
Specificity
{{percentage('specificity')}}%
P4
{{percentage('p4')}}%
F1
{{percentage('f1')}}%
MCC
{{percentage('mcc')}}%
Youden
{{percentage('youden')}}%
Markedness
{{percentage('markedness')}}%
NPV
{{percentage('npv')}}%
Accuracy
{{percentage('accuracy')}}%
Kappa
{{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}}