Machine Learning Algorithms for ccRCC Data Analysis

Keyphrases

• Logistic Regression 100%
• Machine Learning Algorithms 100%
• Random Forest Classifier 100%
• Clear Cell Renal Cell Carcinoma (ccRCC) 100%
• Feature Selection Methods 83%
• Support Vector Classification 50%
• Classification Algorithms 33%
• Machine Learning Techniques 33%
• Multilayer Perceptron 16%
• Feature Selection 16%
• Receiver Operating Characteristic Curve 16%
• Model-driven Development 16%
• Classification Accuracy 16%
• Cause of Death 16%
• Machine Learning Models 16%
• AUC Score 16%
• XGBoost Regression 16%
• XGBoost 16%
• Proteomics 16%
• Classifier Model 16%
• Latent Factors 16%
• Regression Forest 16%
• Logistic Regression Classifier 16%
• Renal Cell Carcinoma 16%
• Forest Logistics 16%
• Classification Forest 16%
• Genetic Testing 16%
• Malignant Tumor 16%

Biochemistry, Genetics and Molecular Biology

• Random Forest 100%
• Feature Extraction 100%
• Support Vector Machine 50%
• Classification Algorithm 33%
• Proteomics 16%
• Genetic Screening 16%
• Perceptron 16%

Chemical Engineering

• Learning System 100%
• Support Vector Machine 60%
• Multilayer Neural Networks 20%