Work

Additional file 17: of The parameter sensitivity of random forests

Year: 2016

Type: dataset

Abstract: Parameter grid for predicting performance. A summary table of parameters that were used to perform model tuning for predicting AUC using a subset of parameters, n tree , m try and sampsize. A total of 162 parameters were used in model tuning and the optimal parameters (n tree = 200, m try = 2, sampsize = 200) were selected to fit the final model. (CSV 124 bytes)

Source: Figshare

DOI: 10.6084/m9.figshare.c.3626282_d12

Authors: Huang, Barbara, Boutros, Paul

Language: English

Topic: Machine Learning and Data Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W4394109737

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