[Python] The result won't display based on the scikit code [closed]

When I execute the code, it doesn't work. No result. I dont get any feedback. What am I missing?



# https://scikit-learn.org/stable/getting_started.html

from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import make_pipeline
from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score

# create a pipeline object
pipe = make_pipeline(
StandardScaler(),
LogisticRegression()
)

# load the iris dataset and split it into train and test sets
X, y = load_iris(return_X_y=True)
X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=0)

# fit the whole pipeline
pipe.fit(X_train, y_train)

# we can now use it like any other estimator
accuracy_score(pipe.predict(X_test), y_test)

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