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Tell us what evaluation approaches would you work to gauge the effectiveness of a machine learning model?
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Answer / Km Gargi
The evaluation approaches for gauging the effectiveness of a machine learning model include but are not limited to: Cross-validation, K-Fold Cross-Validation, Leave-One-Out Cross-Validation, Train-Test Split, and Bootstrapping. These methods help in determining the model's generalization performance on unseen data by splitting the available data into training and testing sets.
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