Keyphrases
Machine Learning
100%
Item Response Theory
100%
Interpretation Tools
100%
Feature Selection
100%
Selection Tool
100%
Feature Interpretation
100%
Circularity
50%
Classification Results
50%
Breast Cancer
25%
Research Use
25%
Selection Strategy
25%
Classification Analysis
25%
Model Use
25%
Two-machine
25%
Learning Context
25%
Reduction Method
25%
Machine Learning Classifiers
25%
Selected Features
25%
Breast Cancer Data
25%
Characteristic 3
25%
Subsequent Learning
25%
Feature Select
25%
Polytomous Item Response Theory
25%
Selection Protocol
25%
Dichotomous Items
25%
Learning Classifiers
25%
Wisconsin Breast Cancer Dataset
25%
Feature Reduction
25%
Feature Removal
25%
Computer Science
Response Theory
100%
Feature Selection
100%
Machine Learning
100%
Learning System
100%
Feature Extraction
100%
classification result
50%
Comparison Purpose
25%
Feature Reduction
25%
Breast Cancer Wisconsin Diagnostic Data Set
25%
Selection Process
25%
Classification Analysis
25%
Biochemistry, Genetics and Molecular Biology