cpoisson/trash-optimizer-models

1Classification Report2================================================================================3 4                     precision    recall  f1-score   support5 6            battery     1.0000    0.9928    0.9964       2767        car_battery     0.9959    1.0000    0.9979       2438          cardboard     0.9062    0.9170    0.9116       2539      food_organics     0.9436    0.9366    0.9401       26810              glass     0.9685    0.9179    0.9425       26811         light_bulb     1.0000    0.9883    0.9941       25612              metal     0.8826    0.8859    0.8843       26313             mirror     0.9957    1.0000    0.9978       22914miscellaneous_trash     0.9121    0.8755    0.8934       24915               neon     0.9784    0.9956    0.9869       22716              paper     0.8996    0.8630    0.8809       27017           pharmacy     0.9881    0.9921    0.9901       25218            plastic     0.8000    0.8681    0.8327       23519  printer_cartridge     0.9668    0.9957    0.9811       23420      textile_trash     0.9277    0.9083    0.9179       24021               tire     0.9763    0.9960    0.9860       24822         vegetation     0.9810    0.9961    0.9885       25923               wood     1.0000    1.0000    1.0000       23024 25           accuracy                         0.9507      450026          macro avg     0.9512    0.9516    0.9512      450027       weighted avg     0.9511    0.9507    0.9507      450028