Questions tagged [ensemble-learning]

For questions related to ensemble learning, which refers to machine learning techniques where multiple models (e.g. a neural network and a decision tree) are trained and their predictions are combined to solve the same problem. Bagging and boosting are two popular ensemble learning techniques.

Filter by
Sorted by
Tagged with
0
votes
0answers
19 views

How do I save an Ensemble Learning model? [closed]

I need to save it to my PC so that I can run it with a simple .load() function if something disconnects on the platform I'm using (Google Colab). For demonstration purposes, I just want to load the ...
2
votes
1answer
53 views

Are there ensemble methods for regression?

I have heard of ensemble methods, such as XGBoost, for binary or categorical machine learning models. However, does this exist for regression? If so, how are the weights for each model in the process ...
9
votes
2answers
1k views

Do deep learning algorithms represent ensemble-based methods?

Shortly about deep learning (for reference): Deep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data by using a deep graph ...