The goal of the Lossless Random Forest Compression is, given a initial pre- trained random forest, to get rid of the maximum number of its trees such that the decision function of the initial random forest and the compressed random forest are identical.
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The goal of the Lossless Random Forest Compression is, given a initial pre- trained random forest, to get rid of the maximum number of its trees such that the decision function of the initial random forest and the compressed random forest are identical.
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Idriss-Malek/RFC
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The goal of the Lossless Random Forest Compression is, given a initial pre- trained random forest, to get rid of the maximum number of its trees such that the decision function of the initial random forest and the compressed random forest are identical.
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