How Will You Know Which Machine Learning Algorithm to Choose for Your Classification Problem?

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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 them
  • If the training dataset is small, use models that have low variance and high bias
  • If the training dataset is large, use models that have high variance and little bias