This question was posted on one of our LinkedIn groups. The author wrote: In practice, given a wide range of classifiers, we often have to choose the one based on performance comparison through validation. Research literature shows that there is no classifier that performs universally best in all contexts for all problems. The following paper applied 8 most popular classifiers (e.g., SVM, Neural…
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