Problem 4: Build a Stacking Classifier with Two Base Models

Problem Description

Write a Python program that builds a StackingClassifier combining a Decision Tree and a Logistic Regression as base models, with a Logistic Regression as the meta-model, and predicts a new data point.

Input

A labeled dataset and one new data point.

Output

The predicted class from the stacking ensemble.

Constraints

• At least 10 labeled examples.

Example Input

text
(A labeled dataset with 10+ examples, and one new point to classify)

Example Output

text
Stacking prediction: [1]

Concepts Covered

StackingClassifier, estimators, final_estimator.