CODEWITHSUNDEEP
machine-learning
user14942207
user14942207

Reputation: 1

Could i use Adaboost to solve the linear regression problem？

Two months ago，i have learn the adaboost and I am surprised at it strength，so i have a question，could it can be used to solve the relationship between Tea polyphenols and spectrum? In many papers they use linear regression to predict tea polyphenols through spectral data.So can i use adaboost to solve this problem？ （I hope I made it clear）

Upvotes: 0

Views: 1082

Answers (1)

Khalid Saifullah
Khalid Saifullah

Reputation: 785

@think_maths already gave you a working practical solution, so let me give you a bit of intuition

Adaboost Algorithm

If you look at the algorithm, It's pretty simple. The job of Adaboost is to give proper weights to the observations and classifiers/regressors so that the predictions for unusual observations become better. In the picture, function G(x) is any machine learning model of your choice, It could be Linear Regression as well. You could read some paper if you want to learn deeper about it - AdaBoost.RT: A boosting algorithm for regression problems.

also this thread - Can AdaBoost be used for regression?

Upvotes: 1

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