Learning_Curves_(Naive_Bayes).png
Summary
Description Learning Curves (Naive Bayes).png |
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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Date | |
Source | https://scikit-learn.org/stable/modules/learning_curve.html |
Author | scikit-learn developers |
Licensing
Copyright © The author
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