Problem 2: Compare Random Forest with a Single Decision Tree

Problem Description

Write a Python program that trains both a Decision Tree and a Random Forest 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 models.

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
Decision Tree prediction: [1]
Random Forest prediction: [1]

Concepts Covered

DecisionTreeClassifier, RandomForestClassifier, model comparison.