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After using cross_validation.KFold(n, n_folds=folds) I would like to access the indexes for trainin… Read more Sklearn Kfold Acces Single Fold Instead Of For Loop

I am going to perform ShuffleSplit() method for California housing dataset (Source: https://www.dcc… Read more Error: __init__() Got An Unexpected Keyword Argument 'n_splits'

I am trying this training modeling using train_test_split and a decision tree regressor: import skl… Read more Valueerror: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

I'm running some supervised experiments for a binary prediction problem. I'm using 10-fold … Read more How To Plot Pr-curve Over 10 Folds Of Cross Validation In Scikit-learn

I have dataset with categorical and non categorical values. I applied OneHotEncoder for categorical… Read more How To Use Cross-validation After Transforming Features

Trying to perform Kfold cv on a dataset containing 279 files , the files are of shape ( 279 , 5 , 9… Read more Typeerror: Only Integer Scalar Arrays Can Be Converted To A Scalar Index , While Trying Kfold Cv

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?

I am confused about the difference between the cross_val_score scoring metric 'roc_auc' and… Read more What Is The Difference Between Cross_val_score With Scoring='roc_auc' And Roc_auc_score?

I want to do a cross validation for LightGBM model with lgb.Dataset and use early_stopping_rounds. … Read more How To Use Lightgbm.cv For Regression?