Hyper-parameters are parameters that are not directly learnt within estimators. In scikit-learn they are passed as arguments to the constructor of the estimator classes. Typical examples include C,...| scikit-learn
This example demonstrates how to balance model complexity and cross-validated score by finding a decent accuracy within 1 standard deviation of the best accuracy score while minimising the number o...| scikit-learn
This examples shows how a classifier is optimized by cross-validation, which is done using the GridSearchCV object on a development set that comprises only half of the available labeled data. The p...| scikit-learn
This examples shows how a classifier is optimized by cross-validation, which is done using the GridSearchCV object on a development set that comprises only half of the available labeled data. The p...| scikit-learn