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Figshare
2024-11-25 更新
2026-04-08 收录
特征选择
基准测试方法
数据链接:
https://figshare.com/articles/dataset/Analysis_reports/27129840/2
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资源简介:
Rendered analysis reports for the feature selection for integration benchmark
应用场景:
提供机构:
Zappia, Luke
创建时间:
2024-11-25
相关数据集
FIA49k_2d_descriptors_selection.json
化学信息学
特征选择
All 2D molecular descriptors after the first and second round of feature selection.
DataCite Commons
2025-05-01 更新
15
0
Description of selected features for activity recognition.
活动识别
特征选择
Description of selected features for activity recognition.
NIAID Data Ecosystem
7
0
The set of variables selected by Lasso for classification of Alzheimer’s disease vs. a healthy diagnosis (left column) and Alzheimer’s disease vs. MCI (right column).
阿尔茨海默病诊断
特征选择
Highlighted rows show variables that are selected by both classification tasks. The baseline value of a variable is denoted by the suffix _BL. First order terms such as (Incr. Ventricles) denote the i
Figshare
2019-09-19 更新
3
0
Blocklist Features - Cell Profiler
细胞图像分析
特征选择
CellProfiler features that are known to be noisy and generally unreliable. We recommend removing these features before downstream analyses.
DataCite Commons
2020-08-26 更新
15
0
A list of all 64 variables used in the features selection along with the best features of size 15 and 20 for each of the four target attributes.
特征选择
多目标特征优化
A list of all 64 variables used in the features selection along with the best features of size 15 and 20 for each of the four target attributes.
NIAID Data Ecosystem
6
0
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