One of the biggest decisions that a data scientist need to make during a predictive modeling exercise is to choose the right classifier.There is no best classifier for all problems. The accuracy of the classifier varies based on the data set. Correlation between the predictor variables and the outcome is a key influencer. The choice need to be made based on experimentation. There are two main se…
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