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dl4j附录三,如何评估模型的执行性能

楚宪
2023-12-01

Evaluating Model Performance

As you train your model, you will want to test how well it performs. For that test, you will need a dedicated data set that will not be used for training but instead will only be used for evaluating your model. This data should have the same distribution as the real-world data you want to make predictions about with your model. The reason you can’t simply use your training data for evaluation is because machine learning methods are prone to overfitting (getting good at making predictions about the training set, but not performing well on larger datasets).

The Evaluation class is used for evaluation. Slightly different methods apply to evaluating a normal feed forward networks or recurrent networks. For more details on using it, take a look at the corresponding examples.

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