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Table 4 Experimental environment

From: An effective heuristic for developing hybrid feature selection in high dimensional and low sample size datasets

Task

Hardware

OS

Language

Package (Library)

- F-statistics - mRMR -Permutation Importance - Proposed Performance evaluation

Processor:AMD Ryzen 9 5900X 12-Core RAM:16GB, GPU:RTX3090

Windows 11

R 4.3.1

mlr 2.19.1

ranger 0.15.1

mRMRe 2.1.2.1

Parallel (base)

xgboost 1.7.5.1

caret 6.0–94

-GRACES

-INF

Processor:Intel i7=10700 16-Core RAM:32.0GB GPU:RTX3080

Ubuntu 20.04.6 LTS

Python 3.8.10

pytorch 2.0.1

torch_geometric 2.3

sklearn 1.2.2

xgboost 1.7.6

numpy 1.24.3

pandas 2.0.2

scipy 1.10.1

INF(https://pypi.org/project/PyIFS/)

GRACES(https://github.com/canc1993/graces)