Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
It seems that k-fold cross validation in convn net is not taken seriously due to huge running time of the …
keras cross-validationIn the R package rpart, what determines the size of trees presented within the CP table for a decision tree? …
r tree decision-tree cross-validation rpartAfter using cross_validation.KFold(n, n_folds=folds) I would like to access the indexes for training and testing …
python scikit-learn cross-validationI'm trying to perform my first KNN Classifier using SciKit-Learn. I've been following the User Guide and other online examples …
scikit-learn cross-validation knn grid-searchI would like to know the difference between the score returned by GridSearchCV and the R2 metric calculated as below. …
python scikit-learn cross-validation grid-searchSimilar to Custom cross validation split sklearn I want to define my own splits for GridSearchCV for which I need …
python validation scikit-learn cross-validationThis is my target (y): target = [7,1,2,2,3,5,4, 1,3,1,4,4,6,6, 7,5,7,8,8,8,5, 3,3,6,2,7,7,1, 10,3,7,10,4,10, 2,2,2,7] I do not know why while I'm executing: ... # Split the data set in two …
runtime-error svm scikit-learn cross-validationI'm trying to understand using kfolds cross validation from the sklearn python module. I understand the basic flow: instantiate a …
python machine-learning scikit-learn cross-validationI'm using the sklearn package to build a logistic regression model and then evaluate it. Specifically, I want to do …
python scikit-learn logistic-regression cross-validation rocI am performing linear regression using the Lasso method in sklearn. According to their guidance, and that which I have …
python scikit-learn regression cross-validation