How can we combine probabilities from multiple classifiers in sklearn? [Classifiers are trained on similar type datasets, difference being their sizes and the way each result might be used]. I am using SGDClassifier to train the individual classifiers, and need to choose the best amongst them. But as I understand I would need to normalize first before comparing them and was not sure how to calibrate them as such. Any pointers to would be helpful.
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