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Related Questions
- What are the primary differences in model architecture and design when trained for classification versus regression tasks?
- How does the choice of loss function impact the model's performance in classification versus regression problems?
- What are the key hyperparameters that require tuning differently for classification versus regression tasks?
- Can you explain the role of regularization techniques in classification versus regression models?
- How does the model's ability to handle non-linear relationships differ between classification and regression objectives?
- What are the implications of using a classification model for a regression task, and vice versa?
- How does the model's performance on calibration metrics differ between classification and regression tasks?
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