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  "Title": "Tunes AdaBoost, Elastic Net, Support Vector Machines, and\nGradient Boosting Machines",
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  "Description": "Contains two functions that are intended to make tuning\nsupervised learning methods easy. The eztune function uses a\ngenetic algorithm or Hooke-Jeeves optimizer to find the best\nset of tuning parameters. The user can choose the optimizer,\nthe learning method, and if optimization will be based on\naccuracy obtained through validation error, cross validation,\nor resubstitution. The function eztune_cv will compute a cross\nvalidated error rate. The purpose of eztune_cv is to provide a\ncross validated accuracy or MSE when resubstitution or\nvalidation data are used for optimization because error\nmeasures from both approaches can be misleading.",
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