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Results tagged with grid-search
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user 59343
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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How to plot mean_test score and mean_train score of GridSearchCV
You could visualize them as a heatmap.
For example you could use the C values as the rows, the gamma values as the columns and the color intensity of each element in the heatmap array would correspo …
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