I am receiving the following error in R when stacking using the caret package. "Error: At least one of the class levels is not a valid R variable name; This will cause errors when class probabil...

I've trained a tree model with R caret. I'm now trying to generate a confusion matrix and keep getting the following error: Error in confusionMatrix.default(predictionsTree, testdata$catgeory) ...

When I install caret with. install.packages("caret", dependencies=c("Depends", "Suggests")) library(caret) ## Loading required package: lattice ## Loading required package: ggplot2 Error in L...

In addition to predicting the class labels, is it possible to return the expectation of each observation in new data when predicting? library(caret) knnFit <- train(Species ~ ., data = iris, me...

I am using the train function in caret to train a SVM using the svmRadial kernel for a binary classification task I have. When I run the train function on my data, I incrementally get these messa...

I am using the caret package to train a model with "rpart" package; tr = train(y ~ ., data = trainingDATA, method = "rpart") Data has no missing values or NA's, but when running the command a wa...

When I run 2 random forests in caret, I get the exact same results if I set a random seed: library(caret) library(doParallel) set.seed(42) myControl <- trainControl(method='cv', index=createFo...

Having an issue while running a logistic regression model using caret::train(). LR = caret::train(Satisfaction ~., data= log_train, method = "glm", preProcess = c("scale"), fami...

While using Caret package for machine learning, I am struck with Caret's default "Positive" outcome picking i.e the first level of the outcome factor in binary classification problems. Package say...

I am trying to fit a Random Forest model with caret. My training data weight 129MB and I'm computing this on Google Cloud with 8 cores and 52GB RAM. The code I'm using is below: library(caret) lib...

I would like to repeat the hyperparameter tuning (alpha and/or lambda) of glmnet in mlr3 to avoid variability in smaller data sets In caret, I could do this with "repeatedcv" Since I real...

My problem I would like to build a logistic regression model with a high AUC in predicting a binary variable. I would like to use the following approach (if feasible): Use an elastic net model (gl...

yesterday I updated my R packages and since then parallel execution of the train function fails. It seems like some functions that are called from within the workers are not available. These funct...

I have been using a gbm in the caret package in Rstudioto find the probability for the occurrence of a failure. I have used Youden's J to find a threshold for the best classification, which is 0.63...

I would like to calculate the 10-fold cross-validated AUC of an elastic net regression model with the optimal alpha and lambda using caret::train https://stats.stackexchange.com/questions/69638/doe...

I am trying to fit a random forest model to my dataset and I would like to select the best model based off of the F1 score. I saw a post here describing the code necessary. I attempted to copy the ...

I'm building a predictive model and am using the mice package for imputing NAs in my training set. Since I need to re-use the same imputation scheme for my test set, how can I re-apply it to my tes...

I want to calculate variable importance for glmnet model in R. I am using glmnet package for fitting the elastic net model like library(glmnet) library(caret) library(vip) data_y <- as.vector(m...

I came up with following issue when I try to extract the predicted probabilities using support vector machine (SVM). Usually the probability cutoff for a classification algorithm is 0.5. But I need...

Here is my code: library(MASS) library(caret) df <- Boston set.seed(3721) cv.10.folds <- createFolds(df$medv, k = 10) lasso_grid <- expand.grid(fraction=c(1,0.1,0.01,0.001)) lasso <- t...

I am trying to install R package caret Which gives me ERROR: dependencies ‘ggplot2’, ‘reshape2’, ‘BradleyTerry2’ are not available for package ‘caret’ I tried to install each of this individually...

I used caret to train an rpart model below. trainIndex <- createDataPartition(d$Happiness, p=.8, list=FALSE) dtrain <- d[trainIndex, ] dtest <- d[-trainIndex, ] fitControl <- trainCont...

Consider 3 data sets train/val/test. sklearn's GridSearchCV() by default chooses the best model with the highest cross-validation score. In a real-world setting where the predictions need to be acc...

On numerous occasions I've been getting this error when trying to fit a gbm or rpart model. Finally I was able to reproduce it consistently using publicly available data. I have noticed that this e...

I have rather huge dataset in which I would like to exclude columns with a rather low variance, which is why I would like to use the phrase NearZeroVar. However, I do have some trouble understandin...