October 2017
Beginner to intermediate
572 pages
26h 1m
English
Perform the following steps in R:
> install.packages("SuperLearner")> library(SuperLearner)> sl_models = c("SL.xgboost", "SL.randomForest", "SL.glmnet", "SL.nnet", "SL.rpartPrune", "SL.lm", "SL.mean")> superlearner = SuperLearner(Y = Y, X = X, family = gaussian (), SL.library = sl_models)> superlearnerOutputCall: SuperLearner(Y = Y, X = X, family = gaussian(), SL.library= sl_lib) Risk CoefSL.xgboost_All 7.606564e+00 0.000000e+00SL.randomForest_All 1.027187e+01 2.907956e-16SL.glmnet_All 8.641940e-02 0.000000e+00SL.nnet_All 8.442002e+01 0.000000e+00SL.rpartPrune_All 1.198280e+01 0.000000e+00SL.lm_Al l 9.947536e-30 1.000000e+00SL.mean_All 8.443262e+01 7.768893e-17> r = CV.SuperLearner(Y = Y, X = X, family = gaussian(), + SL.library ...Read now
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