Cross-Validation is a method of evaluating and comparing predictive systems in statistics and machine learning.
I'm running some supervised experiments for a binary prediction problem. I'm using 10-fold cross validation to evaluate performance in terms …
python plot machine-learning scikit-learn cross-validationInspired by this: http://scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html#sphx-glr-auto-examples-feature-selection-plot-rfe-with-cross-validation-py I am …
python scikit-learn cross-validation rfeI am currently working on a dataset in kaggle. After training the model of the training data, I testing it …
machine-learning deep-learning cross-validation training-data kaggleI wish to implement early stopping with Keras and sklean's GridSearchCV. The working code example below is modified from How …
machine-learning scikit-learn keras cross-validation grid-searchI'm relatively new to Python. Can you help me improve my implementation of SMOTE to a proper pipeline? What I …
python scikit-learn pipeline cross-validation grid-searchI have trained a model in scikit-learn using Cross-Validation and Naive Bayes classifier. How can I persist this model to …
python scikit-learn pickle cross-validationI am doing multiclass/multilabel text classification. I trying to get rid of the "ConvergenceWarning". When I tuned the max_…
python logistic-regression cross-validation multiclass-classificationI'm currently working on a problem which compares three different machine learning algorithms performance on the same data-set. I divided …
python machine-learning scikit-learn cross-validation grid-search