Problem 3: Correctly Scale Training and Test Sets Separately

Problem Description

Write a Python program that splits a dataset into training and test sets, fits a StandardScaler on the training set only, and then applies that same fitted scaler to both the training and test sets.

Input

A dataset with one numeric feature column, split into training and test portions.

Output

The scaled training and test sets, using parameters learned only from the training data.

Constraints

• Assume the split has already been performed (or perform it using train_test_split).

Example Input

text
feature = [10, 20, 30, 40, 50, 60]

Example Output

text
(Scaled training set values, and scaled test set values using the SAME scaler fitted only on training data)

Concepts Covered

StandardScaler, .fit() vs .transform(), avoiding data leakage.