Problem 2: Compare Linear and RBF Kernels

Problem Description

Write a Python program that trains two SVM models — one with a linear kernel, one with an RBF kernel — on the same dataset, and compares their predictions on the same new data point.

Input

A labeled dataset and one new data point.

Output

Predictions from both kernel types.

Constraints

• At least 8 labeled training examples.

Example Input

text
X=[[1,60],[2,65],[8,95],[9,98],[4,72],[6,88]], y=[0,0,1,1,0,1], new=[[5,80]]

Example Output

text
Linear kernel prediction: [1]
RBF kernel prediction: [1]

Concepts Covered

kernel parameter comparison.