پرونده:Learning Curves (Naive Bayes).png
خلاصه
| توضیح |
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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| تاریخ | |||
| منبع | https://scikit-learn.org/stable/modules/learning_curve.html | ||
| پدیدآور | scikit-learn developers | ||
| دیگر نسخهها |
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تاریخچهٔ پرونده
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| تاریخ/زمان | بندانگشتی | ابعاد | کاربر | توضیح | |
|---|---|---|---|---|---|
| کنونی | ۱۵ فوریهٔ ۲۰۱۹، ساعت ۱۰:۰۱ | | ۶۴۰ در ۴۸۰ (۴۱ کیلوبایت) | wikimediacommons>Justin Ormont | User created page with UploadWizard |
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