A brief summary of RF modelling process for hard70 data using various FS methods and predictive variables.
收藏Figshare2016-02-22 更新2026-04-29 收录
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https://figshare.com/articles/dataset/A_brief_summary_of_RF_modelling_process_for_hard70_data_using_various_FS_methods_and_predictive_variables_/2589022
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1) models 1–25 based on the AVI using 20 variables; 2) models 26–38 based on the AVI using 41 variables; 3) models 39–49 based on KIAVI using 41 variables; and 4) models 50–52 based on the Boruta with the maximal number of importance source runs of 2000, 100 and 5000, and model 53 based on the RRF using 41 variables. The model fit is the predictive accuracy (ccr) of training samples by each RF model developed. The corresponding predictor for each number is listed in Table 1.
创建时间：
2016-02-22
