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| ID | Category | Severity | Reproducibility | Date Submitted | Last Update | |||||||
| 0000727 | [ALGLIB] Data analysis | feature | have not tried | 2017-09-25 18:15 | 2018-05-16 16:46 | |||||||
| Reporter | SergeyB | View Status | public | |||||||||
| Assigned To | SergeyB | |||||||||||
| Priority | normal | Resolution | open | |||||||||
| Status | assigned | Product Version | ||||||||||
| Summary | 0000727: Gradient boosting trees | |||||||||||
| Description |
todo * http://fastml.com/what-is-better-gradient-boosted-trees-or-random-forest/ * An Empirical Comparison of Supervised Learning Algorithms Using Different Performance Metrics (2005) by Rich Caruana , Alexandru Niculescu-Mizil * An empirical evaluation of supervised learning in high dimensions (2008) by Rich Caruana , Nikos Karampatziakis , Ainur Yessenalina * Obtaining Calibrated Probabilities from Boosting, Alexandru Niculescu-Mizil, Rich Caruana |
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| Additional Information | ||||||||||||
| Programming language | Unspecified | |||||||||||
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