/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

0 vote143 views1 answer
Yum install python3
Python
-3 votes136 views1 answer
ImportError: cannot import name 'SGD' from 'keras.optimizers' (/usr/local/lib/python3.7/dist-packages/keras/optimizers.py) site:stackoverflow.com
Python
1 vote116 views1 answer
Difference between get and filter in django
Python
5 votes143 views1 answer
Pandas version from python script
Python
0 vote132 views1 answer
Python runtime
Python
-2 votes145 views2 answers
Where to import reverse_lazy in django
Python Django
3 votes136 views2 answers
Convert mb to gb python
Python
0 vote126 views1 answer
Change each line color as a rainbow python
Python
0 vote110 views1 answer
Matplotlib savefig size
Python
0 vote129 views1 answer
How to bubble search in python stack overflow
Python