get true negatives from confusion matrix
def perf_measure(y_actual, y_hat):
TP = 0
FP = 0
TN = 0
FN = 0
for i in range(len(y_hat)):
if y_actual[i]==y_hat[i]==1:
TP += 1
if y_hat[i]==1 and y_actual[i]!=y_hat[i]:
FP += 1
if y_actual[i]==y_hat[i]==0:
TN += 1
if y_hat[i]==0 and y_actual[i]!=y_hat[i]:
FN += 1
return(TP, FP, TN, FN)
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