Table 2 Values of different degrees of AR for PM10, PM2.5, and nox pollutants (Asterisks (*) indicate the optimal values among the compared results).

From: Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach

AR

PM10

PM2.5

NOx

AIC

BIC

AIC

BIC

AIC

BIC

AR 1

4195.561

4218.913

3719.825

3743.222

2598.265

2613.531

AR 2

4293.881

4301.663

3865.245

3873.040

2805.926

2813.563

AR 3

4191.282*

4207.854*

3718.754

3734.352

2596.827

2608.273

AR 4

4216.263

4231.835

3745.303

3760.903

2559.413*

2570.875*

AR 5

4736.854

4730.754

4205.274

4209.175

3240.853

3244.675

AR 6

4193.425

4209.104

3716.823*

3728.524*

2598.565

2613.836

AR 7

4192.255

4207.912

3718.741

3734.355

2578.096

2597.175

AR 8

4194.256

4213.714

3720.751

3740.254

2574.625

2597.525

AR 9

4192.774

4208.345

3716.933

3731.035

2590.392

2597.847

AR 10

4192.703

4208.272

3717.392

3731.484

2576.561

2597.588

AR 11

4215.204

4226.872

3717.387

3755.067

2586.963

2639.946

AR 12

4193.743

4213.202

3719.394

3736.663

2574.932

2597.235

AR 13

4265.724

4273.501

3716.955

3777.826

2584.871

2638.634