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CampusEduX

Problem 2: Train an AdaBoost Classifier

Easypython
Learn the Concept: Ensemble Techniques

Problem Description

Write a Python program that trains an AdaBoostClassifier on the same dataset, and compares its prediction to the Bagging model from Problem 1.

Input

The same labeled dataset and new data point.

Output

The predicted class from AdaBoost.

Constraints

  • Use the same dataset as Problem 1.

Example Input

text
(Same as Problem 1)

Example Output

text
AdaBoost prediction: [1]

Concepts Covered

AdaBoostClassifier, model comparison.

Related Problems

  • Problem 1: Train a Bagging Classifier
    Easy · python
    Solve Problem
  • Problem 3: Compare Gradient Boosting with Different n_estimators
    Easy · python
    Solve Problem
  • Problem 4: Build a Stacking Classifier with Two Base Models
    Easy · python
    Solve Problem

Input (stdin)

Output

Run your code to see output here...