EGF_term_selection_12062017

Dryad2018-01-01 更新2026-04-13 收录

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File explaining final model term selection (saturated model reduction)

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2018-01-01

用于基准测试特征选择算法的合成数据集，包括多种类型的数据集，如直线、4D AND、5D XOR等，每个数据集都有其特定的特征和目标变量方程。

github2024-05-23 更新150

p, Student’s T analysis of G1 versus G2. Cadaver data: average +/- standard deviation.

NIAID Data Ecosystem60

Hyperparameter optimization using 10-fold grid search CV for the filtered LMCH data dynamics with 80:20 partition with feature selection.

Figshare2024-05-16 更新40

The highest classification accuracy of each algorithm on each data set and its feature subset length.

NIAID Data Ecosystem80

Elastic-net parameters alpha was set to 0.975 and lambda was estimated as 0.075. Coefficients were calculated with standardized variables (STDV = 1).

NIAID Data Ecosystem40