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I am looking at this tutorial: https://www.dataquest.io/mission/74/getting-started-with-kaggle I go… Read more What Does Kfold In Python Exactly Do?

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

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

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

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?

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

Let's say I want to use a LinearSVC to perform k-fold-cross-validation on a dataset. How would … Read more How To Standardize Data With Sklearn's Cross_val_score()