/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 vote257 views1 answer
Python extract mails from string
Python
16 votes238 views1 answer
Python reimport py file
Python
0 vote258 views1 answer
Name, *line = input().split()
Python
3 votes246 views1 answer
Spark df shape
Python
3 votes247 views1 answer
How to change the window colour in pygame
Python
1 vote262 views1 answer
Python index 2d array
Python
0 vote247 views1 answer
Bs4 innerhtml
Python
1 vote249 views1 answer
Run django app locally
Python
2 votes235 views2 answers
Create new list with for loop python
Python
0 vote238 views1 answer
Default style matplotlib python
Python