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Home - Thomas Huijskens. Bayesian optimization with scikit-learn. Choosing the right parameters for a machine learning model is almost more of an art than a science. Kaggle. Competitors spend considerable time on tuning their model in the hopes of winning competitions, and proper model selection plays a huge part in that. It is remarkable then, that the industry standard algorithm for selecting hyperparameters, is something as simple as random search. There is actually a whole field dedicated to this pro.PARSED CONTENT
The site had the following in the web page, "Choosing the right parameters for a machine learning model is almost more of an art than a science." I observed that the web site stated " Competitors spend considerable time on tuning their model in the hopes of winning competitions, and proper model selection plays a huge part in that." They also stated " It is remarkable then, that the industry standard algorithm for selecting hyperparameters, is something as simple as random search. There is actually a whole field dedicated to this pro."