Skip to content Skip to sidebar Skip to footer
Showing posts with the label Cross Validation

Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

I'm trying to find the best model Neural Network model applied for the classification of breast… Read more Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

Issue With Cross Validation

I want to use leave one out cross validation. But i am getting below error: AttributeError … Read more Issue With Cross Validation

Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Im using Xgboost implementation on sklearn for a kaggle's competition. However, im getting this… Read more Xgboost : The Least Populated Class In Y Has Only 1 Members, Which Is Too Few

Why Does Calling The Kfold Generator With Shuffle Give The Same Indices?

With sklearn, when you create a new KFold object and shuffle is true, it'll produce a different… Read more Why Does Calling The Kfold Generator With Shuffle Give The Same Indices?

How To Give Gridsearchcv A List Of Indicies For Cross-validation?

I'm trying to use custom cross-validation sets for a very specific dataset and scikit-optimize … Read more How To Give Gridsearchcv A List Of Indicies For Cross-validation?

Why Does Calling The KFold Generator With Shuffle Give The Same Indices?

With sklearn, when you create a new KFold object and shuffle is true, it'll produce a different… Read more Why Does Calling The KFold Generator With Shuffle Give The Same Indices?