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Showing posts with the label Cross Validation

What Does Kfold In Python Exactly Do?

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?

How To Get Training & Validation Loss Of Keras Scikit-learn Wrapper In Cross Validation?

I know that model.fit in keras returns a callbacks.History object where we can get loss and other m… Read more How To Get Training & Validation Loss Of Keras Scikit-learn Wrapper In Cross Validation?

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

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

Typeerror: Only Integer Scalar Arrays Can Be Converted To A Scalar Index , While Trying Kfold Cv

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

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

Cross_val_score Is Not Working With Roc_auc And Multiclass

What I want to do: I wish to compute a cross_val_score using roc_auc on a multiclass problem What I… Read more Cross_val_score Is Not Working With Roc_auc And Multiclass