Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
I'm running GridSearch CV to optimize the parameters of a classifier in scikit. Once I'm done, I'd like to know …
python scikit-learn random-forest cross-validationI have a small corpus and I want to calculate the accuracy of naive Bayes classifier using 10-fold cross validation, …
python scikit-learn nltk cross-validation naivebayesI'm unable to find a way of performing cross validation on a regression random forest model that I'm trying to …
r random-forest cross-validationIn simple words, what is the difference between cross-validation and grid search? How does grid search work? Should I do …
cross-validation definition difference grid-searchI am trying to split my dataset into training and testing dataset, but I am getting this error: X_train,…
python scikit-learn cross-validationWhen I use the following code with Data matrix X of size (952,144) and output vector y of size (952), mean_squared_…
python regression scikit-learn cross-validationI'm trying to make a k-fold CV for several classification methods/hiperparameters using the data available at http://archive.ics.…
r cross-validation r-caretLet me start by saying that I have read many posts on Cross Validation and it seems there is much …
r cross-validation r-caret rpartI am using sklearn for multi-classification task. I need to split alldata into train_set and test_set. I want …
machine-learning scikit-learn svm cross-validationI would like to use cross validation to test/train my dataset and evaluate the performance of the logistic regression …
python scikit-learn logistic-regression cross-validation