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Showing posts with the label Cross Validation

How To Use Cross-validation After Transforming Features

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

Sklearn Kfold Acces Single Fold Instead Of For Loop

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

How To Get Roc Auc For Binary Classification In Sklearn

I have binary classification problem where I want to calculate the roc_auc of the results. For this… Read more How To Get Roc Auc For Binary Classification In Sklearn

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 Standardize Data With Sklearn's Cross_val_score()

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()

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