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from sklearn import datasets
from sklearn import linear_model
import numpy as np
from sklearn.model_selection import train_test_split
# ´ç´¢º´ µ¥ÀÌÅÍ ¼¼Æ®¸¦ sklearnÀÇ µ¥ÀÌÅÍÁýÇÕÀ¸·ÎºÎÅÍ ÀоîµéÀδÙ.
diabetes = datasets.load_diabetes()
regr = linear_model.LinearRegression()
X_train, X_test, y_train, y_test = train_test_split(diabetes.data, diabetes.target,
test_size = 0.2)
regr.fit(X_train, y_train)
y_pred = regr.predict(X_test)
print(y_pred)
print(y_test)