[FIXED] How to get confidence of model prediction in python & sklearn.svm.SVC?

Issue

I have created a support vector model which makes a prediction via model.predict(). Is there a way to see the probability or confidence of this prediction?

def svc_training(X, y):
    # Create a support vector classifier
    clf = SVC(C=1)
    # Fit the classifier using the training data
    clf.fit(X, y)
    return clf

Solution

You need to enable probability parameter:

probability: boolean, optional (default=False) :

Whether to enable probability estimates. This must be enabled prior to calling fit, and will slow down that method.

So, clf = SVC(C=1, probability=True) and you can reach confidence scores with

predictions = model.predict(predict_df)
clf.predict_proba(predict_df)

where predict_df is simply the dataframe you want to predict.

Answered By - Nuri Taş