/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

65 votes149 views5 answers
Python version check in cmd
Python
0 vote122 views1 answer
Python svg viewing
Python
14 votes120 views5 answers
Permutations python
Python
0 vote118 views1 answer
How to deploy to heroku djangorest framework app
Python
0 vote107 views10 answers
Python open file partially
Python
0 vote125 views1 answer
Module 'cv2.cv2' has no attribute 'imWrite'
Python
3 votes111 views2 answers
Pen down python turtle
Python
0 vote120 views1 answer
Django active link
Python Django
12 votes123 views6 answers
Pandas drop duplicates
Python
0 vote127 views1 answer
Shutdown flask server with request
Python