/Python/Precision and recall from confusion matrix python

Precision and recall from confusion matrix python

from sklearn.metrics import confusion_matrix, plot_confusion_matrix

clf = # define your classifier (Decision Tree, Random Forest etc.)
clf.fit(X, y) # fit your classifier

# make predictions with your classifier
y_pred = clf.predict(X) 
        
# get true negative (tn), false positive (fp)
# false negative (fn) and true positive (tp) 
# from confusion matrix
M = confusion_matrix(y, y_pred)
tn, fp, fn, tp = M.ravel() 

recall = tp / (tp + fn)       # definition of recall
precision = tp / (tp + fp)    # definition of precision

Similar codes

0 vote130 views1 answer
Scrapy access settings from spider
Python
10 votes138 views4 answers
Python set
Python
0 vote140 views1 answer
Create new dataframe from columns pandas
Python
0 vote340 views1 answer
IntegrityError import in django
Python
0 vote134 views1 answer
.lstrip()
Python
0 vote131 views1 answer
Radians in python turtle
Python
4 votes128 views2 answers
Python print binary tree
Python
1 vote134 views1 answer
Seconds in a month
Python
0 vote142 views1 answer
Pyfcm image
Python
0 vote136 views1 answer
Randomly splits this DataFrame with the provided weights
Python