0000727: Gradient boosting trees

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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

Platform

Status

assigned

Projection

none

OS Version

ETA

none

Fixed in Version

Product Version

Target Version

Next 'Data mining' release

Product Build

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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Issue History
Date Modified	Username	Field	Change
2017-09-25 18:15	SergeyB	New Issue
2017-09-25 18:15	SergeyB	Status	new => assigned
2017-09-25 18:15	SergeyB	Assigned To	=> SergeyB
2017-09-25 18:15	SergeyB	Programming language	=> Unspecified
2018-05-16 16:46	SergeyB	Description Updated

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