/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

31 votes176 views3 answers
Python array to list
Python
0 vote193 views1 answer
How to fix snap "pycharm-community" has "install-snap" change in progress
Python
1 vote155 views1 answer
Check the input format of a date python
Python
2 votes243 views2 answers
Count gabarit django
Python
3 votes204 views1 answer
ModuleNotFoundError: No module named 'django.core.urlresolvers'
Python
0 vote208 views1 answer
'float' object has no attribute 'replace'
Python
0 vote184 views1 answer
Equivalent of setInterval python
Python
3 votes172 views1 answer
Get biggest value in array python3
Python
3 votes163 views1 answer
Python simple web app
Python
1 vote172 views1 answer
Exclude first value of an array python
Python