A Binary Classification Model for PM ₁₀ Levels

Keyphrases

• Air Effect 33%
• Area under the Receiver Operating Characteristic (AUROC) 33%
• Binary Classification 100%
• Boosting Classifier 33%
• Classification Problem 33%
• Classifier Model 33%
• Dangerous Classes 33%
• Extra Tree Classifier 33%
• Gradient Boosting Classifier 33%
• Human Health 33%
• Imbalanced Binary Classification 66%
• Imbalanced Class Distribution 33%
• Imbalanced Learning 33%
• Istanbul 33%
• Learning Problems 33%
• Model Use 33%
• Particulate Matter 33%
• PM10 100%
• Random Forest Classifier 66%
• Regression Model 66%
• Regression Problem 33%
• Sampling Methods 33%
• Training Set 33%
• Unsatisfactory Outcome 33%

Computer Science

• Binary Classification 100%
• Class Distribution 33%
• Classification Models 100%
• Classification Problem 100%
• Classifier Model 33%
• Experimental Result 33%
• Gradient Boosting Classifier 33%
• Learning Problem 33%
• Positive Effect 33%
• Random Forest Classifier 66%
• Regression Problem 33%

Mathematics

• Binary Classification 100%
• Classification Problem 100%
• Classifier Model 33%
• Regression Model 66%
• Training Set 33%