File:Learning Curves (Naive Bayes).png

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描述
English: A learning curve shows the validation and training score of an estimator for varying numbers of training samples. It is a tool to find out how much we benefit from adding more training data and whether the estimator suffers more from a variance error or a bias error. If both the validation score and the training score converge to a value that is too low with increasing size of the training set, we will not benefit much from more training data. In the following plot you can see an example: naive Bayes roughly converges to a low score.
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來源 https://scikit-learn.org/stable/modules/learning_curve.html
作者 scikit-learn developers

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Learning curve showing training score and cross validation score

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20 7 2015

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