Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets

Computer Science

• Machine Learning Approach 100%
• Random Decision Forest 100%
• Models 100%
• Training Data 33%
• User 16%
• Accuracy 16%
• Diagnosis 16%
• Algorithms 16%
• Decision-Making 16%
• Machine Learning Algorithm 16%
• Classification Performance 16%
• Classification Accuracy 16%
• Hyperspectral Image 16%
• Functions 16%

Biochemistry, Genetics and Molecular Biology

• Learning 100%
• Random Forest 100%
• Infrared Radiation 100%
• Training 50%
• Infrared Spectroscopy 33%
• Classification 33%
• Accuracy 33%
• Tissue Microarray 16%
• Decision Making 16%
• Sample 16%