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How do you choose an algorithm for a classification problem?
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Answer / Anshu Prabha
Choosing an algorithm for a classification problem depends on several factors, including the size and complexity of the data, the number of classes to be classified, and the desired level of accuracy. Commonly used algorithms include logistic regression, decision trees, random forests, k-nearest neighbors (KNN), and support vector machines (SVM).
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