Rank forest: Systematic attribute sub-spacing in decision forest

Keyphrases

• Decision Tree 100%
• Decision Forest 100%
• Quality Attributes 66%
• Random Forest 66%
• Test Attribute 66%
• T-test 33%
• Poor Quality 33%
• Random Selection 33%
• Classification Algorithms 33%
• Attribute Selection 33%
• Mutual Information 33%
• Knowledge Discovery 33%
• Existing Techniques 33%
• Ensemble Accuracy 33%
• Stable Performance 33%
• Attribute Space 33%
• Probabilistic Selection 33%
• Different Datasets 33%
• Random Subspace 33%
• Information Gain Ratio 33%
• Attribute Subspace 33%
• Ensemble Learning Techniques 33%
• High Computational Cost 33%

Computer Science

• Decision Trees 100%
• Random Decision Forest 66%
• Quality Attribute 66%
• Attribute Space 33%
• Knowledge Discovery 33%
• Ensemble Learning 33%
• Random Selection 33%
• Computational Cost 33%
• Classification Algorithm 33%
• Mutual Information 33%
• Learning Technique 33%
• Information Gain 33%