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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

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

I would like to predict the probability from Logistic Regression model with cross-validation. I kno… Read more Predict_proba For A Cross-validated Model

I want to use leave one out cross validation. But i am getting below error: AttributeError … Read more Issue With 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?

I'm trying to make a classifier on a data set. I first used XGBoost: import xgboost as xgb impo… Read more Why Xgboost.cv And Sklearn.cross_val_score Give Different Results?

I am going to perform ShuffleSplit() method for California housing dataset (Source: https://www.dcc… Read more Error: __init__() Got An Unexpected Keyword Argument 'n_splits'