Heuristic target class selection for advancing performance of coverage-based rule learning

Mathematics

• Rule Learning 100%
• Prism 83%
• Coverage 65%
• Heuristics 57%
• Target 56%
• Model Complexity 46%
• Overfitting 44%
• Decision tree 42%
• Performance 39%
• Strategy 35%
• Branch 28%
• Divide and conquer 21%
• Class 19%
• Learning Algorithm 19%
• Machine Learning 18%
• Training 17%
• Necessity 17%
• Experimental Results 16%
• Likely 16%
• Attribute 15%
• Computational Complexity 15%
• Model 5%

Business & Economics

• Heuristics 52%
• Decision Tree 52%
• Overfitting 46%
• Performance 25%
• Machine Learning 21%
• Learning Algorithm 20%
• Computational Complexity 19%

Engineering & Materials Science

• Prisms 79%
• Decision trees 32%
• Learning algorithms 13%
• Computational complexity 13%
• Machine learning 12%