C50通过插入符号包挣扎

我正在用C50包装的插入符号列车包装纸挣扎。我想，以适应预测模型与C50通过插入符号包挣扎

train(x=dataTrain[,predModelFactorized], y=dataTrain[,outcome], method="C50", metric="ROC", trControl=trCtrl, tuneGrid = c50Grid)

与

c50Grid <- expand.grid(trials = c(1:9, (1:10)*10),model = c("tree", "rules"),winnow = c(TRUE, FALSE))

我得到

Error in train.default(x = dataTrain[, predModelFactorized], y = dataTrain[, : 
    wrong model type for classification

和我的会话信息是提前

sessionInfo() 
R version 3.0.2 (2013-09-25) 
Platform: x86_64-w64-mingw32/x64 (64-bit) 

locale: 
[1] LC_COLLATE=Italian_Italy.1252 LC_CTYPE=Italian_Italy.1252 
[3] LC_MONETARY=Italian_Italy.1252 LC_NUMERIC=C     
[5] LC_TIME=Italian_Italy.1252  

attached base packages: 
[1] splines grid  stats  graphics grDevices utils  datasets 
[8] methods base  

other attached packages: 
[1] pROC_1.7.1  nnet_7.3-8  Formula_1.1-1 survival_2.37-7 
[5] caret_6.0-24 ggplot2_0.9.3.1 lattice_0.20-29 rj_1.1.3-1  

loaded via a namespace (and not attached): 
[1] car_2.0-19   cluster_1.15.2  codetools_0.2-8  
[4] colorspace_1.2-4 compiler_3.0.2  dichromat_2.0-0  
[7] digest_0.6.4  foreach_1.4.1  gtable_0.1.2  
[10] Hmisc_3.14-3  iterators_1.0.6  labeling_0.2  
[13] latticeExtra_0.6-26 MASS_7.3-31   munsell_0.4.2  
[16] plyr_1.8.1   proto_0.3-10  RColorBrewer_1.0-5 
[19] Rcpp_0.11.1   reshape2_1.2.2  rj.gd_1.1.3-1  
[22] scales_0.2.3  stringr_0.6.2  tools_3.0.2

谢谢

来源

2014-04-05 Giorgio Spedicato

使用method = "C5.0"（你遗漏了点）。该软件被称为“C5.0”，但R软件包不能有点，因此软件包名称（“C50”）和函数名称（“C5.0”）的区别。

最大

来源

2014-04-05 18:41:18 topepo

C50通过插入符号包挣扎

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