Questions tagged [loocv]

10 questions
2
votes
0 answers

How to use LOOCV for trainControl with Stacking Algorithms using R caret

I like to know how to build an Ensembl Stacking R model using the caret package. In this model cross-validation function should be loocv In trainControl index param required to add manually. currently, I tried this but I got errors like…
1
vote
0 answers

LOOCV Cross-validation: lmer model

Kindly request assistance with the R code for the Leave-one-out CV (LOOCV) for the lmer model with k fold being random factors in the model. I believe the 'Caret' package does only for the lm/glm but not the Linear Mixed model. I might be…
Joyce
  • 11
  • 1
0
votes
0 answers

hyper parameter of loocv - performance reduce

I Try to hyper parameter tuning over my model , I have small dataset thus the basic model is evaluatred by LOOCV. for better performance I want to hyper parameter tune the model thus I did the next step: I Run LOOCV 1.1 for each fold of the LOOCV I…
Gal
  • 1
  • 1
0
votes
0 answers

R ensemble stacking using caret: the right way to establish index for LOOCV

Im trying to stack ensemble of predictions using caretStack and applying LOOCV. Here is my script: library(readr) library(caretEnsemble) # Using wine quality dataset as an example: raw <-…
tabumis
  • 106
  • 7
0
votes
0 answers

getting Rank deficiency error in cross validation

Hi I am trying to cross validate my multiple logistic predictive model. I have used the following code before on the same data before and it never gave me an issue but now its giving the rank deficiency error. Any help would be…
0
votes
1 answer

Calculating LOOCV with adjusted R-square scoring parameter

I have dataset where I transformed categorical dataset into numerical by dummies and I ran simple linear regression model to predict dependent variable. I got adjusted R-square as 0.66. Now I want to cross validate my model with leave one out method…
0
votes
0 answers

How to use learning curves and cross-validation?

My aim is to prove whether there is overfitting or underfitting. However, when I calculate the learning curves (graphically depict how a process is improved), the standard deviation of the cross-validation score is enormous. My observation here is…
vdu16
  • 123
  • 10
0
votes
0 answers

i get one set of feature importance after loocv, is it a result of all loocv model sets or of one mean model? (random forest)

I'm a person who doesnt get used to loocv yet. I've been curious of the title problem. I did leave one out cross validation for my random forest model. My codes are like this. for train_index, test_index in loo.split(x): x_train, x_test =…
0
votes
0 answers

Leave one out cross validation RStudio randomForest package error

Creating an LOOCV loop using the randomForest package. I have adapted the following code from this link (https://stats.stackexchange.com/questions/459293/loocv-in-caret-package-randomforest-example-not-unique-results) however I am unable to…
cmche
  • 1
  • 1
0
votes
1 answer

Apply LOOCV in java splitting with a specific condition

I have a csv file containing 24231 rows. I would like to apply LOOCV based on the project name instead of the observations of the whole dataset. So if my dataset contains information for 15 projects, I would like to have the training set based on 14…
ValeSwire
  • 33
  • 5