A brief summary of RF modelling process for hard90 data using various FS methods and predictive variables.
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https://figshare.com/articles/dataset/A_brief_summary_of_RF_modelling_process_for_hard90_data_using_various_FS_methods_and_predictive_variables_/2589007
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资源简介：
1) models 1–25 based on the VI using 20 variables; 2) models 26–29 based on the AVI using 20 variables; 3) models 30–31 based on KIAVI using 20 variables; 4) models 32–43 based on the AVI using 41 variables; and 5) models 44–45 based on the Boruta and model 46 based on the RRF using 41 variables. 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
