Hey,
I was trying to implement Stochastic Gradient Boosting in R. Following is my
code in rstudio:
library(caret);
library(gbm);
library(plyr);
library(survival);
library(splines);
library(mlbench);
set.seed(35);
stack = read.csv("E:/Semester 3/BDA/PROJECT/Sample_SO.csv", head =TRUE,sep=",");
dim(stack); #displaying dimensions of the dataset
#SPLITTING TRAINING AND TESTING SET
totraining <- createDataPartition(stack$ID, p = .6, list = FALSE);
training <- stack[ totraining,]
test <- stack[-totraining,]
#PARAMETER SETTING
t_control <- trainControl(method = "cv", number = 10);
# GLM
start <- proc.time();
glm = train(ID ~ ., data = training,
method = "gbm",
metric = "ROC",
trControl = t_control,
verbose = FALSE)
When I am compiling last line, I am getting following error:
Error in `contrasts<-`(`*tmp*`, value = contr.funs[1 + isOF[nn]]) :
contrasts can be applied only to factors with 2 or more levels
Can anyone tell me where I am going wrong and How to rectify it. It’ll be
greatful.
Thank you. Looking forward to it.
Regards,
Karteek Pradyumna Bulusu.
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