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Test loss: Difference between revisions
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(Created page with "{{see also|Machine learning terms}} ===Test Loss in Machine Learning== Machine learning algorithms measure their model's ability to make accurate predictions on unseen data. The test loss provides an assessment of a model's generalization ability, or its capacity for making accurate predictions when presented with new, unseen information that was not seen during training. The test loss is calculated by comparing the model's predictions on test data with actual values fo...") |
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{{see also|Machine learning terms}} | {{see also|Machine learning terms}} | ||
== | ==Introduction== | ||
Machine learning algorithms measure their model's ability to make accurate predictions on unseen data. The test loss provides an assessment of a model's generalization ability, or its capacity for making accurate predictions when presented with new, unseen information that was not seen during training. | Machine learning algorithms measure their model's ability to make accurate predictions on unseen data. The test loss provides an assessment of a model's generalization ability, or its capacity for making accurate predictions when presented with new, unseen information that was not seen during training. | ||