File:Random Forest Bagging Illustration.png
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Summary
| Description |
English: A graphic showing how random forests are trained through bootstrap aggregation. First, the training dataset is sampled with replacement.Then, a decision tree is trained on each subset of the training set. Finally, the predictions of each tree is aggregated to determine the final prediction of the random forest model. |
| Date | |
| Source | Own work |
| Author | Harry585 |
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| Date/Time | Thumbnail | Dimensions | User | Comment | |
|---|---|---|---|---|---|
| current | 08:15, 27 October 2023 | | 1,138 × 932 (111 KB) | Harry585 | Uploaded while editing "Random forest" on en.wikipedia.org |
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