Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data

<div>Recognition rates of the models on the ORL subdatasets, namely, ORL.EigenfaceM30, ORL.EigenM56, ORL.EigenM120, ORL.EigenM504, and ORL.RandomfaceM30, ORL.RandomM56, ORL.RandomM120, and ORL.RandomM504.</div>

The Scientific World Journal

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Figure 2

Figure 2: Unbiased Feature Selection in Learning Random Forests for High-Dimensional Data 