Evaluating the Effectiveness of Random Forest Model
碩士 === 國立交通大學 === 統計學研究所 === 103 === Random Forest is a popular machine learning algorithms. It is a decision tree model consists of multiple trees. First, we generate a specified number of tree (ex: 100), then we predict the final result by taking average of all the results (for continuous response...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/46358970356692465998 |