Problem 3: Scale Features Before Training SVM

Problem Description

Write a Python program that scales two features of very different ranges using StandardScaler, then trains an SVM classifier on the scaled data.

Input

A dataset with two features of very different scales, and labels.

Output

The prediction for a new, appropriately scaled data point.

Constraints

• None specific.

Example Input

text
X=[[1,50000],[2,55000],[9,150000],[10,160000]], y=[0,0,1,1], new=[[5,100000]]

Example Output

text
Prediction: [1] (or [0] — the key requirement is consistent scaling of training and new data)

Concepts Covered

StandardScaler, SVC, consistent scaling.