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Showing posts with the label Cross Validation
Keras/scikit-learn: Using Fit_generator() With Cross Validation

Keras/scikit-learn: Using Fit_generator() With Cross Validation

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Is it possible to use Keras's scikit-learn API together with fit_generator() method? Or use ano… Read more Keras/scikit-learn: Using Fit_generator() With Cross Validation
Gridsearchcv.best_score_ Meaning When Scoring Set To 'accuracy' And Cv

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

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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
How To Get Roc Auc For Binary Classification In Sklearn

How To Get Roc Auc For Binary Classification In Sklearn

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

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

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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 Use The A K-fold Cross Validation In Scikit With Naive Bayes Classifier And Nltk

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

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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