Table 1 Table showing the performance metrics of Light gradient boosting machine learning model: R2 and RRMSE (Relative Root Mean Squared Error).
From: High-resolution gridded CO2 and pollutant emission data from road traffic in Indian cities
City | R2 | RRMSE | FCD fuel % |
|---|---|---|---|
Bengaluru | 0.65 | 0.56 | 25.40 |
Chandigarh | 0.64 | 0.49 | 11.94 |
Chennai | 0.76 | 0.44 | 21.35 |
Delhi | 0.68 | 0.74 | 39.22 |
Guwahati | 0.74 | 0.47 | 88.10 |
Hyderabad | 0.63 | 0.49 | 24.47 |
Indore | 0.72 | 0.47 | 45.93 |
Jaipur | 0.72 | 0.49 | 49.47 |
Kolkata | 0.66 | 0.48 | 32.81 |
Lucknow | 0.67 | 0.53 | 54.74 |
Mangaluru | 0.68 | 0.52 | 30.86 |
Mumbai | 0.76 | 0.55 | 10.94 |
Pune | 0.72 | 0.48 | 22.95 |
Tiruppur | 0.58 | 0.38 | 30.92 |
Vadodara | 0.80 | 0.45 | 38.21 |