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Combining Bagging and Random Subspaces to Create Better Ensembles
Published on Oct 08, 20075031 Views
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in bagging) and random
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Chapter list
Combining Bagging and Random Subspaces to Create Better Ensembles00:00
Outline00:20
Motivation00:55
Randomization Methods for Constructing Ensembles02:01
Bagging03:23
Random Subspace Method04:04
Random Forest04:52
Combining Bagging and Random Subspaces05:52
Training Set S pt 106:20
Training Set S pt 206:24
Training Set S pt 306:34
Training Set S pt 406:55
Training Set S pt 507:05
Training Set S pt 607:11
Experiments07:18
Results pt 108:41
Results pt 210:07
Results pt 310:54
Results – Wilcoxon test11:31
Summary12:53
Further work13:25