From: Flight delay prediction based on deep learning and Levenberg-Marquart algorithm
 | Accuracy | Precision | Recall | Specificity | F1 measure | Support |
---|---|---|---|---|---|---|
SDA-LM model | ||||||
 Class 0 | 0.92 | 0.98 | 0.88 | 0.89 | 0.92 | 2888640 |
 Class1 | 0.92 | 0.74 | 0.89 | 0.88 | 0.84 | 713039 |
 Micavg | 0.92 | 0.88 | 0.88 | 0.89 | 0.88 | 3601679 |
 Macavg | 0.92 | 0.89 | 0.88 | 0.88 | 0.83 | 3601679 |
 Weighted Avg | 0.92 | 0.90 | 0.88 | 0.88 | 0.89 | 3601679 |
SAE-LM model | ||||||
 Class 0 | 0.83 | 0.92 | 0.86 | 0.68 | 0.89 | 2888640 |
 Class1 | 0.83 | 0.55 | 0.68 | 0.86 | 0.61 | 713039 |
 Micavg | 0.83 | 0.83 | 0.83 | 0.74 | 0.83 | 3601679 |
 Macavg | 0.83 | 0.73 | 0.77 | 0.77 | 0.75 | 3601679 |
 Weighted Avg | 0.83 | 0.84 | 0.83 | 0.75 | 0.83 | 3601679 |
SAE-LM model | ||||||
 Class 0 | 0.80 | 0.93 | 0.82 | 0.73 | 0.87 | 2888640 |
 Class1 | 0.80 | 0.50 | 0.74 | 0.82 | 0.60 | 713039 |
 Micavg | 0.80 | 0.80 | 0.80 | 0.78 | 0.80 | 3601679 |
 Macavg | 0.80 | 0.72 | 0.78 | 0.77 | 0.73 | 3601679 |
 Weighted Avg | 0.80 | 0.84 | 0.80 | 0.78 | 0.82 | 3601679 |