Diabetes क्लासिफायर बनाना

# Fit the scaler on the training features and transform these in one go
X_train_std = scaler.____(____)

# Fit the logistic regression model on the scaled training data
lr.____(____, ____)

# Scale the test features
X_test_std = scaler.____(____)

# Predict diabetes presence on the scaled test set
y_pred = lr.____(____)

# Prints accuracy metrics and feature coefficients
print(f"{accuracy_score(y_test, y_pred):.1%} accuracy on test set.")
print(dict(zip(X.columns, abs(lr.coef_[0]).round(2))))