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Additional file 2 of Intervention in prediction measure: a new approach to assessing variable importance for random forests

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Figshare2017-05-03 更新2026-04-08 收录
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https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Intervention_in_prediction_measure_a_new_approach_to_assessing_variable_importance_for_random_forests/4963595
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资源简介:
R source code. This is a compressed (.zip) file with data and R codes for reproducing the results. There is a file called Readme.txt that explains the contents of six files. Two files contain the two real data sets. The R code for computing IPM for RF-CART and CIT-RF is available in one file. The R code for each of the simulations is available in another file, while the other two files contain the R codes for each application to real data. (ZIP 43 kb)
创建时间:
2017-05-03
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