2
برق و الکترونیک::
اعتبارسنجی متقاطع
Better Evaluation Using Cross-Validation 69
Measuring Accuracy Using Cross-Validation 83
• Selecting a model and tuning hyperparameters using cross-validation.
To avoid "wasting" too much training data in validation sets, a common technique is to use cross-validation: the training set is split into complementary subsets, and each model is trained against a different combination of these subsets and validated against the remaining parts.
What is cross-validation and why would you prefer it to a validation set?
واژگان شبکه مترجمین ایران