Hello dear researchers
Which will commonly machine learning algorithms are employed when you plan to set an ensemble-based method? why?
OR
Which parameters for selecting of base learner are important when you plan to set an ensemble-based method? why?
I am waiting for your answer eagerly
Shima Shafiee
Ensemble techniques are a type of machine learning methodology that integrates numerous base models to create a single best prediction model. Let's go back to the end aim of machine learning and model construction to better grasp this term.
Gradient Boosting, often known as GBM, is another ensemble machine learning technique that may be used for both regression and classification tasks. GBM employs the boosting strategy, which combines a number of weak learners to create a strong learner.
Boosting, bagging, and stacking are the most prevalent ensemble approaches. Ensemble approaches are excellent for regression and classification, where they decrease bias and variance to improve model accuracy.
However, the Decision Tree algorithm in machine learning is among the most widely used algorithms nowadays; it is a supervised learning technique used for issue classification. It is effective at categorizing both categorical and continuous dependent variables.
Dear Shima,
Greetings!
Ensemble methods are techniques that create multiple models and then combine them to produce improved results. Ensemble methods usually produce more accurate solutions than a single model would. This has been the case in a number of machine learning competitions, where the winning solutions used ensemble methods. In the popular Netflix Competition, the winner used an ensemble method to implement a powerful collaborative filtering algorithm. Another example is KDD 2009 where the winner also used ensemble methods. You can also find winners who used these methods in Kaggle competitions, for example here is the interview with the winner of the CrowdFlower competition.
You can refer to the following links for more details:-
1) https://www.toptal.com/machine-learning/ensemble-methods-machine-learning
2) https://towardsdatascience.com/ensemble-methods-in-machine-learning-what-are-they-and-why-use-them-68ec3f9fef5f
3) https://towardsdatascience.com/ensemble-methods-bagging-boosting-and-stacking-c9214a10a205
DEAR Qamar Ul Islam
Thank you very much for your complete and comprehensive guidance
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