Variable Importance Measure System Based on Advanced Random Forest
نویسندگان
چکیده
منابع مشابه
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Random Forests are commonly applied for data prediction and interpretation. The latter purpose is supported by variable importance measures that rate the relevance of predictors. Yet existing measures can not be computed when data contains missing values. Possible solutions are given by imputation methods, complete case analysis and a newly suggested importance measure. However, it is unknown t...
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Figure: Averaged normalized importances for X1 from 100 simulated datasets (simulation process described below) for m=1,2,3,4 (left to right) with β1=(4,1,1,0.3) , corr(Xj,Xk)=ρ |j−k| with ρ=−0.9 to 0.9 in steps of 0.1 Grey line: true normalized LMG allocation; Black line: true normalized PMVD allocation : Variable importance (% MSE Reduction) from RF-CART; ×: Variable importance (% MSE Reducti...
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ژورنال
عنوان ژورنال: Computer Modeling in Engineering & Sciences
سال: 2021
ISSN: 1526-1506
DOI: 10.32604/cmes.2021.015378