/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

18 votes103 views1 answer
List to dic
Python
2 votes107 views1 answer
Colab gmail mount
Python
4 votes112 views2 answers
Python exception with line number
Python
2 votes61 views1 answer
How to separate a string or int with comma in python
Python
15 votes115 views3 answers
Python get input from console
Python
21 votes111 views6 answers
Python remove key from dict
Python
5 votes112 views2 answers
Finding the format of an image in cv2
Python
-1 vote143 views1 answer
Pop a string from a list python
Python
0 vote114 views10 answers
Loop
Python
0 vote116 views1 answer
Python pandas remove non-numeric characters from multiple columns
Python