Logo Questions Linux Laravel Mysql Ubuntu Git Menu
 

New posts in cross-validation

Saving a cross-validation trained model in Scikit

sklearn cross_val_score gives lower accuracy than manual cross validation

I have much more than three elements in every class, but I get this error: "class cannot be less than k=3 in scikit-learn"

ValueError: n_splits=10 cannot be greater than the number of members in each class

What does KFold in python exactly do?

understanding python xgboost cv

Cross Validation in Keras

(Python - sklearn) How to pass parameters to the customize ModelTransformer class by gridsearchcv

Sklearn preprocessing - PolynomialFeatures - How to keep column names/headers of the output array / dataframe

scikit-learn GridSearchCV with multiple repetitions

How to perform k-fold cross validation with tensorflow?

How is scikit-learn cross_val_predict accuracy score calculated?

How to extract best parameters from a CrossValidatorModel

predict_proba for a cross-validated model

What is OOF approach in machine learning?

Using statsmodel estimations with scikit-learn cross validation, is it possible?

Difference between cross_val_score and cross_val_predict

How to use the a k-fold cross validation in scikit with naive bayes classifier and NLTK

Does TensorFlow have cross validation implemented for its users?

how to implement walk forward testing in sklearn?