Answer-first summary for fast verification
Answer: All of the above
All the options A, B, and C are valid methods for combining the predictions of multiple models in an ensemble. Voting involves taking a majority vote among the models for the final prediction. Averaging involves calculating the mean of the predictions from all models. Weighted averaging assigns different weights to the predictions of each model based on their performance, and then calculates the weighted mean. Therefore, the correct answer is D, as all the methods can be used for combining predictions.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
In a classification problem, you have trained multiple models using ensemble techniques. You want to combine their predictions to improve the overall performance. Which of the following methods can be used for combining the predictions, and explain how each method works?
A
Voting
B
Averaging
C
Weighted averaging
D
All of the above
No comments yet.