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Showing posts with the label Cross Validation

How To Use Lightgbm.cv For Regression?

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?

What Is The Difference Between Cross_val_score With Scoring='roc_auc' And Roc_auc_score?

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?

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?

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

Valueerror: N_splits=10 Cannot Be Greater Than The Number Of Members In Each Class

I am trying to run the following code: from sklearn.model_selection import StratifiedKFold X = [&#… Read more Valueerror: N_splits=10 Cannot Be Greater Than The Number Of Members In Each Class

ValueError: Cannot Have Number Of Splits N_splits=3 Greater Than The Number Of Samples: 1

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

How To Use The A K-fold Cross Validation In Scikit With Naive Bayes Classifier And NLTK

I have a small corpus and I want to calculate the accuracy of naive Bayes classifier using 10-fold … Read more How To Use The A K-fold Cross Validation In Scikit With Naive Bayes Classifier And NLTK