Skip to content

Instantly share code, notes, and snippets.

from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.metrics import mean_squared_error as mse
from sklearn.ensemble import RandomForestRegressor
from lightgbm import LGBMRegressor
X, y = datasets.load_diabetes(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)