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Results tagged with grid-search
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user 57564
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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Parameters optimization algorithms in Weka
In Weka, I used the Grid and Random search parameters tuning algorithms but unfortunately, their performance (in terms of better prediction accuracy) is observed worst when we use the ML algorithms (S …
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