/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

3 votes180 views2 answers
Pygame change logo
Python
-2 votes174 views3 answers
Python i++
Python
0 vote201 views1 answer
H2o dataframe columns drop
Python
0 vote218 views1 answer
Unbreakable box made of diamond
Python
0 vote250 views1 answer
Split python strings into pairs & complete uneven pairs
Python
0 vote167 views1 answer
Django float validator
Python
12 votes253 views6 answers
Intersection of two lists python
Python
0 vote196 views1 answer
Fast input python
Python
0 vote192 views1 answer
Validationerror django params
Python
6 votes235 views3 answers
Messages django
Python Django