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Results tagged with grid-search
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user 104161
In machine learning, grid search refers to multiple runs to find the optimal value of parameter(s)/hyperparameter(s) of a model, e.g. mtry for random-forest or alpha, beta, lambda for glm, or C, kernel and gamma for SVM.
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SKLEARN GridSearchCV hinting higher accuracy than Pipeline but with same parameters as Pipel...
The GridsearchCV object in sklearn does a cross-validation on the data you feed it during your fit. In your case you have specified cv=5: this means GridSearchCV splits your data into train/test split …
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