/Python/Get false positives from confusoin matrix

Get false positives from confusoin matrix

FP = confusion_matrix.sum(axis=0) - np.diag(confusion_matrix)  
FN = confusion_matrix.sum(axis=1) - np.diag(confusion_matrix)
TP = np.diag(confusion_matrix)
TN = confusion_matrix.values.sum() - (FP + FN + TP)

# Sensitivity, hit rate, recall, or true positive rate
TPR = TP/(TP+FN)
# Specificity or true negative rate
TNR = TN/(TN+FP) 
# Precision or positive predictive value
PPV = TP/(TP+FP)
# Negative predictive value
NPV = TN/(TN+FN)
# Fall out or false positive rate
FPR = FP/(FP+TN)
# False negative rate
FNR = FN/(TP+FN)
# False discovery rate
FDR = FP/(TP+FP)

# Overall accuracy
ACC = (TP+TN)/(TP+FP+FN+TN)

Source: stackoverflow.com

Similar codes

4 votes108 views1 answer
Remove multiple space python
Python
0 vote107 views1 answer
Var colors python
Python
1 vote104 views1 answer
Python tkinter go to another window on button click
Python
1 vote119 views1 answer
Log loss python
Python
2 votes78 views7 answers
Pyhton virtual env
Python
184 votes136 views6 answers
Upgrade pip
Python
1 vote115 views1 answer
AttributeError: 'tensorrt.tensorrt.Builder' object has no attribute 'build_cuda_engine'
Python
0 vote120 views2 answers
Python regex words with apostrophe in middle
Python
0 vote121 views1 answer
Helper for FastAPI Users to create a super user
Python
17 votes116 views4 answers
Python delete directory contents
Python