/Python/True Positive, True Negative, False Positive, False Negative in scikit learn

True Positive, True Negative, False Positive, False Negative in scikit learn

#According to scikit-learn documentation,

#http://scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html#sklearn.metrics.confusion_matrix

#By definition a confusion matrix C is such that C[i, j] is equal to the number of observations known to be in group i but predicted to be in group j.

#Thus in binary classification, the count of true negatives is C[0,0], false negatives is C[1,0], true positives is C[1,1] and false positives is C[0,1].

CM = confusion_matrix(y_true, y_pred)

TN = CM[0][0]
FN = CM[1][0]
TP = CM[1][1]
FP = CM[0][1]

Source: stackoverflow.com

Similar codes

0 vote370 views1 answer
Python invert colormap
Python
0 vote303 views1 answer
Copy dataframe columns names
Python
1 vote346 views1 answer
Python write to command prompt
Python
3 votes347 views1 answer
Simple colours python
Python
8 votes319 views1 answer
Python transfer file
Python
0 vote309 views1 answer
Align a text python
Python
0 vote304 views1 answer
Max fonction code in python
Python
6 votes407 views1 answer
Cors error in flask
Python Flask
1 vote368 views1 answer
Query with condition django
Python Django
0 vote362 views1 answer
How to find the closest value in column python
Python