Qna Discussion

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 low bias