A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method

Table 5

Classifier accuracy, training, and testing time.

Machine learning method	Classification Accuracy		Training and Running Time
	daily	hourly	daily	hourly
Logistic Regression	0.6465	0.4745	0.1233s	0.067s
SVM	0.6570	0.5342	10.9212s	0.023s
MLP	0.6558	0.5479	0.1442s	0.021s
Random Forest	0.9070	0.9315	0.1419s	0.025s