artificial intelligence - parameter optimization for classifier algorithm -


it said different algorithms have different parameters. don't see true, if tree decision algorithm , naive bayesian algorithm, parameter each? can give me example..

if case doing 5-fold cross validation data going run using decision tree algorithm different bayesian?

also parameter optimization 5-fold cross validation. there way automatically determine set values key of parameters using weka?

since using weka, can see parameters each algorithm opening dataset in explorer, going classify, choosing algorithm , clicking on algorithm box. instance naive bayes classifier has parameters affect how deals continuous data (discretization or using kernel estimator)


Comments

Popular posts from this blog

Javascript line number mapping -

c# - Is it possible to remove an existing registration from Autofac container builder? -

php - Mysql PK and FK char(36) vs int(10) -