Table 2 Class distribution for samples in each split of training and test set in multiclass version
From: On the utilization of deep and ensemble learning to detect milk adulteration
Dataset split | Classes | # Training samples | # Test samples |
|---|---|---|---|
90/10% | Raw | 2213 | 257 |
Bicarbonate | 419 | 41 | |
Formaldehyde | 442 | 43 | |
Peroxide | 417 | 48 | |
Starch | 439 | 41 | |
Sucrose | 431 | 55 | |
75/25% | Raw | 1846 | 624 |
Bicarbonate | 338 | 122 | |
Formaldehyde | 347 | 138 | |
Peroxide | 364 | 101 | |
Starch | 359 | 121 | |
Sucrose | 380 | 106 | |
50/50% | Raw | 1239 | 1231 |
Bicarbonate | 219 | 241 | |
Formaldehyde | 223 | 262 | |
Peroxide | 242 | 223 | |
Starch | 253 | 227 | |
Sucrose | 247 | 239 |