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Discussions
While there is no fixed rule to choose an algorithm for a classification problem, you can follow these guidelines:If accuracy is a concern, test different algorithms and cross-validate themIf the training dataset is small, use models that have low variance and high biasIf the training dataset is large, use models that have high variance and little bias
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