How can we assign the weights to output of different models in an ensemble?1. Use an algorithm to return the optimal weights2. Choose the weights using cross validation3. Give high weights to more accurate models

🎲 Try a Random Question  |  Total Questions in Quiz: 706  |  🧠 Study this quiz with Flashcards
This question is part of a full practice quiz:
Machine Learning (ML) Practice Test Questions — practice the complete quiz, review flashcards, or try a random question.

Machine learning (ML) is a branch of artificial intelligence that leverages data to improve computer performance by giving machines the ability to "learn", or improve performance — based on the data.

There are four basic approaches to machine learning: supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.


How can we assign the weights to output of different models in an ensemble?<br>1. Use an algorithm to return the optimal weights<br>2. Choose the weights using cross validation<br>3. Give high weights to more accurate models