/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

1 vote138 views1 answer
How to provide default value when assign i ngvariables python
Python
0 vote363 views1 answer
Discord py join and leave call
Python
1 vote143 views1 answer
Plt equal axis
Python
0 vote156 views1 answer
Drawing diff circles with random radius in diff positions .
Python
11 votes173 views2 answers
Yesterday in python
Python
0 vote166 views1 answer
Django queryset all objects
Python Django
0 vote232 views1 answer
Free the Bunny Prisoners
Python
-1 vote130 views1 answer
Tkinter pack align left
Python
0 vote142 views2 answers
Python longest word in string
Python
0 vote199 views1 answer
Python - count how many unique in a column
Python