X, y = make_classification(n_samples=1000, n_features=10, weights=[0.9, 0.1], random_state=42)
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
model = LogisticRegression()
model.fit(X_train, y_train)
y_pred = model.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)
print("Accuracy:", accuracy)
I'm trying to train a logistic regression model, but I'm encountering a DataConversionWarning.
I understand that this has something to do with the shape of the target labels, but I'm not quite sure how to fix it.
