Problem 4: Evaluate the Effect of n_estimators

Problem Description

Write a Python program that trains Random Forest models with n_estimators set to 10, 50, and 200, and compares their predictions on the same test point (to observe whether/how predictions stabilize as the number of trees increases).

Input

A labeled dataset and one new data point.

Output

Predictions from all three configurations.

Constraints

• At least 8 labeled training examples.

Example Input

text
X=[[1],[2],[3],[7],[8],[9],[10],[11]], y=[0,0,0,1,1,1,1,1], new=[[6]]

Example Output

text
n_estimators=10: [1]
n_estimators=50: [1]
n_estimators=200: [1]

Concepts Covered

n_estimators, model configuration comparison.