from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
iris = load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, random_state=42)
from sklearn.pipeline import make_pipeline
from sklearn.linear_model import LinearRegression
pipeline = make_pipeline(LinearRegression())
pipeline.fit(X_train, y_train)
 

print(pipeline.score(X_test, y_test))