import numpy

from sklearn import metrics

​

actual = numpy.random.binomial(1,.9,size = 1000)

predicted = numpy.random.binomial(1,.9,size = 1000)

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Accuracy = metrics.accuracy_score(actual, predicted)

Precision = metrics.precision_score(actual, predicted)

Sensitivity_recall = metrics.recall_score(actual, predicted)

Specificity = metrics.recall_score(actual, predicted, pos_label=0)

F1_score = metrics.f1_score(actual, predicted)

​

#metrics:

print({"Accuracy":Accuracy,"Precision":Precision,"Sensitivity_recall":Sensitivity_recall,"Specificity":Specificity,"F1_score":F1_score})

​

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