| Classification Report | |
| ================================================================================ | |
| precision recall f1-score support | |
| battery 1.0000 0.9928 0.9964 276 | |
| car_battery 0.9959 1.0000 0.9979 243 | |
| cardboard 0.9062 0.9170 0.9116 253 | |
| food_organics 0.9436 0.9366 0.9401 268 | |
| glass 0.9685 0.9179 0.9425 268 | |
| light_bulb 1.0000 0.9883 0.9941 256 | |
| metal 0.8826 0.8859 0.8843 263 | |
| mirror 0.9957 1.0000 0.9978 229 | |
| miscellaneous_trash 0.9121 0.8755 0.8934 249 | |
| neon 0.9784 0.9956 0.9869 227 | |
| paper 0.8996 0.8630 0.8809 270 | |
| pharmacy 0.9881 0.9921 0.9901 252 | |
| plastic 0.8000 0.8681 0.8327 235 | |
| printer_cartridge 0.9668 0.9957 0.9811 234 | |
| textile_trash 0.9277 0.9083 0.9179 240 | |
| tire 0.9763 0.9960 0.9860 248 | |
| vegetation 0.9810 0.9961 0.9885 259 | |
| wood 1.0000 1.0000 1.0000 230 | |
| accuracy 0.9507 4500 | |
| macro avg 0.9512 0.9516 0.9512 4500 | |
| weighted avg 0.9511 0.9507 0.9507 4500 | |