/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

7 votes160 views1 answer
// meaning in python
Python
0 vote188 views1 answer
Increase "bar width" "px.bar"
Python
1 vote176 views1 answer
Python script to sort file content
Python
0 vote166 views1 answer
Append to a ldictionary value list
Python
7 votes166 views6 answers
Tensorflow version check
Python
1 vote164 views1 answer
Python magic windows error
Python
0 vote174 views1 answer
Unction which takes in a list of integers and returns a dictionary of the five number summary..
Python
0 vote167 views1 answer
Python numpy array subtract
Python
17 votes209 views5 answers
Random python range
Python
0 vote186 views1 answer
Ist comperension python
Python