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New posts in cross-validation

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

r r-caret cross-validation gam mgcv

Best parameters solved by Hyperopt is unsuitable

python machine-learning scikit-learn cross-validation hyperopt

TypeError: 'KFold' object is not iterable

python machine-learning scikit-learn cross-validation

R caret / How does cross-validation for train within rfe work

r cross-validation r-caret rfe

how to specify train and test indices for xgb.cv in R package XGBoost

r time-series cross-validation xgboost

Scikit - Combining scale and grid search

python scikit-learn cross-validation grid-search

Cross-validation and parameters tuning with XGBoost and hyperopt

python machine-learning scikit-learn cross-validation xgboost

sklearn - cross validation with precision scoring for a subset of classes

python machine-learning cross-validation scikit-learn

Error: Classification metrics can't handle a mix of multiclass-multioutput and multilabel-indicator targets

python cross-validation multilabel-classification

Custom Scoring Function in sklearn Cross Validate

python scikit-learn cross-validation

Log transform dependent variable for regression tree

machine-learning regression cross-validation

Grid Search parameter and cross-validated data set in KNN classifier in Scikit-learn

scikit-learn cross-validation knn grid-search

How to split data (raw text) into test/train sets with scikit crossvalidation module?

machine-learning scikit-learn classification cross-validation text-classification

Alternate different models in Pipeline for GridSearchCV

python scikit-learn pipeline cross-validation grid-search

Applying k-fold Cross Validation model using caret package

r cross-validation r-caret rpart

How to get classes labels from cross_val_predict used with predict_proba in scikit-learn

python scikit-learn cross-validation

Collecting out-of-fold predictions from a caret model

r cross-validation r-caret

Using cross validation and AUC-ROC for a logistic regression model in sklearn

python scikit-learn logistic-regression cross-validation roc

Why when I use GridSearchCV with roc_auc scoring, the score is different for grid_search.score(X,y) and roc_auc_score(y, y_predict)?

python scikit-learn cross-validation auc
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