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Results tagged with hyperparameter
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user 107476
A parameter that is not strictly for the statistical model (or data generating process), but a parameter for the statistical method. It could be a parameter for: a family of prior distributions, smoothing, a penalty in regularization methods, or an optimization algorithm.
33
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Is hyperparameter tuning on sample of dataset a bad idea?
I have a dataset of 140000 examples and 30 features for which I am training several classifiers for a binary classification (SVM, Logistic Regression, Random Forest etc)
In many cases hyperparameter tuning … I for example before using that approach used optunity package for tuning the hyperparameter on the whole dataset. …
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