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25 most influential features for SVC kernel.
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创建时间：
2015-12-02
相关数据集
Straight line, 4D AND, 5D XOR, Hypersphere, Cone, Trigonometric, Double Spiral, Yin-yang, 5 multi-cut, 10 multi-cut
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
The highest classification accuracy of each algorithm on each data set and its feature subset length.
The highest classification accuracy of each algorithm on each data set and its feature subset length.
NIAID Data Ecosystem80
The frequencies of features in the optimal feature subsets.
The frequencies of features in the optimal feature subsets.
Figshare2015-12-03 更新40
Machines à vecteurs de support (classificateurs à vaste marge) | Support vector machines
This machine learning training explores the power and versatility of Support Vector Machines (SVMs), a class of models that employ mathematical optimization to find maximum margin hyperplanes for clas
DataCite Commons2025-11-20 更新90
A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis
Lysine acetylation and ubiquitination are two primary post-translational modifications (PTMs) in most eukaryotic proteins. Lysine residues are targets for both types of PTMs, resulting in different ce
DataCite Commons2024-03-24 更新70
