Benchmarking of Classification Algorithms for Psychological Diagnosis

Mathematics

• Bayesian Networks 28%
• Benchmarking 98%
• Classification Algorithm 100%
• Disorder 79%
• Error Rate 26%
• Evaluation 33%
• K-nearest Neighbor 31%
• Learning Algorithm 27%
• Logistic Regression 50%
• Machine Learning 25%
• Metric 15%
• Model 7%
• Necessary 15%
• Performance 27%
• Random Forest 33%
• Receiver Operating Characteristic Curve 28%
• Support Vector Machine 58%

Engineering & Materials Science

• Bayesian networks 35%
• Benchmarking 72%
• Learning algorithms 28%
• Logistic regression 77%
• Machine learning 25%
• Random forests 36%
• Support vector machines 55%