An R package for fitting classification and regression trees.
I cannot understand what is going wrong here. data.train <- read.table("Assign2.WineComplete.csv",sep=",",header=T) # …
r dataframe rpartdataset = read.csv('dataset/housing.header.binary.txt') dataset1 = dataset[6] #higest positive correlation dataset2 = dataset[13] #lowest negative correlation dependentVal= dataset[14] #…
r classification prediction rpartDoes anyone know how to calculate the error rate for a decision tree with R? I am using the rpart() …
r classification decision-tree rpartLet me start by saying that I have read many posts on Cross Validation and it seems there is much …
r cross-validation r-caret rpartAs in my dataset ,the Leakage have two value 1,0. There are just about 300 rows with 1 and extra in 569378 rows are …
r rpartThe dataset can be downloaded from http://archive.ics.uci.edu/ml/machine-learning-databases/wine-quality/ Getting the following error: formula(formula, …
r rpartI am using the caret package to train a model with "rpart" package; tr = train(y ~ ., data = trainingDATA, method = "rpart") …
r rpart r-caretI am using R to classify a data-frame called 'd' containing data structured like below: The data has 576666 rows and …
r machine-learning classification decision-tree rpartI have a data set with 14 features and few of them are as below, where sex and marital status are …
r decision-tree rpart