OmniGA: Optimized Omnivariate Decision Trees for Generalizable Classification Models
نویسندگان
چکیده
منابع مشابه
Model Selection in Omnivariate Decision Trees
We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the data reaching that node. We compare the use of different model selection techniques including AIC, BIC, and CV to choose between the three types of nodes on standard datasets from the UCI repository and see that such...
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ژورنال
عنوان ژورنال: Scientific Reports
سال: 2017
ISSN: 2045-2322
DOI: 10.1038/s41598-017-04281-9