How to Develop and Evaluate Naive Classifier Strategies Using Probability
Last Updated on September 25, 2019 A Naive Classifier is a simple classification model that assumes little to nothing about the problem and the performance of which provides a baseline by which all other models evaluated on a dataset can be compared. There are different strategies that can be used for a naive classifier, and some are better than others, depending on the dataset and the choice of performance measures. The most common performance measure is classification accuracy and common […]
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