yea, I get a similar trend using trees, I just used `SVC` as example cause discord character limit
e.g. `lightgbm` original dataset ```py -----LGBMClassifier----- precision recall f1-score support Dropout 0.79 0.74 0.76 284 Enrolled 0.54 0.38 0.44 159 Graduate 0.79 0.91 0.85 442 accuracy 0.76 885 macro avg 0.71 0.68 0.68 885 weighted avg 0.75 0.76 0.75 885 ``` after down sample ```py -----LGBMClassifier----- precision recall f1-score support Dropout 0.77 0.69 0.73 200 Enrolled 0.64 0.70 0.67 199 Graduate 0.80 0.81 0.80 200 accuracy 0.73 599 macro avg 0.74 0.73 0.73 599 weighted avg 0.74 0.73 0.73 599 ```