T
Thais Mayumi Oshiro
Researcher at University of São Paulo
Publications - 2
Citations - 697
Thais Mayumi Oshiro is an academic researcher from University of São Paulo. The author has contributed to research in topics: Random forest. The author has an hindex of 1, co-authored 2 publications receiving 480 citations.
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How many trees in a random forest
TL;DR: Analysis of whether there is an optimal number of trees within a Random Forest finds an experimental relationship for the AUC gain when doubling the number of Trees in any forest and states there is a threshold beyond which there is no significant gain, unless a huge computational environment is available.
Book ChapterDOI
Root attribute behavior within a random forest
TL;DR: The research reported here analyzes the frequency that an attribute appears in the root node in a Random Forest to find out if it uses all attributes with equal frequency or if there is some of them most used or if the most used attributes present a good performance.