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New posts in cross-validation

scikit-learn: cross_val_predict only works for partitions

python scikit-learn time-series cross-validation

Interpreting sklearns' GridSearchCV best score

python scikit-learn cross-validation grid-search

Are the k-fold cross-validation scores from scikit-learn's `cross_val_score` and `GridsearchCV` biased if we include transformers in the pipeline?

machine-learning scikit-learn pipeline cross-validation grid-search

Why xgboost.cv and sklearn.cross_val_score give different results?

python machine-learning scikit-learn cross-validation xgboost

GridSearchCV: How to specify test set?

python scikit-learn cross-validation text-classification

cost function in cv.glm of boot library in R

r glm cross-validation

r caretEnsemble warning: indexes not defined in trControl

r cross-validation r-caret ensemble-learning

GridSearchCV on LogisticRegression in scikit-learn

python machine-learning scikit-learn cross-validation logistic-regression

Cross validation for MNIST dataset with pytorch and sklearn

scikit-learn pytorch cross-validation mnist k-fold

Is there a simple command to do leave-one-out cross validation with the lm() function?

r cross-validation lm

Creating a table with individual trials from a frequency table in R (inverse of table function)

r cross-validation frequency

Tree sizes given by CP table in rpart

r tree decision-tree cross-validation rpart

GridSearchCV.best_score not same as cross_val_score(GridSearchCV.best_estimator_)

python scikit-learn cross-validation grid-search

Scikit F-score metric error

python machine-learning scikit-learn logistic-regression cross-validation

Why is cross_val_predict not appropriate for measuring the generalisation error?

python scikit-learn svm cross-validation

How does LassoCV in scikit-learn partition data?

python scikit-learn regression cross-validation

Custom Evaluator in PySpark

apache-spark pyspark cross-validation metrics

sklearn grid search with grouped K fold cv generator

scikit-learn cross-validation

Caret package - cross-validating GAM with both smooth and linear predictors

r r-caret cross-validation gam mgcv
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