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On oblique random forests
Published on Nov 30, 20115684 Views
In his original paper on random forests, Breiman proposed two different decision tree ensembles: one generated from "orthogonal" trees with thresholds on individual features in every split, and one fr
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Chapter list
On Oblique Random Forests00:00
Overview - 101:06
Spectral data - 101:08
Spectral data - 202:31
Problem: orthogonal splits03:30
Prior work05:08
Overview - 206:00
Oblique model trees06:03
Oblique random forest08:04
Scaling behavior09:03
Parameterization10:17
Overview - 311:04
Comparison11:06
Performance12:10
Ranking13:03
Overview - 413:58
Topology of the decision boundary14:09
Bias variance analysis - 115:35
Bias variance analysis - 216:10
Artificially correlated data16:29
Overview - 517:29
Feature importance17:38
Sample proximity - 118:57
Sample proximity - 219:15
Sample proximity - 320:09
Overview - 620:36
Conclusions20:37