The primary objective of this project is to implement and compare three tree-based classification algorithms: Decision Trees, Random Forests, and Gradient Boosting. The project aims to provide a ...

Abstract: This paper proposes a tree-based pursuit algorithm that efficiently trades off complexity and approximation performance for overcomplete signal expansions. Finding the sparsest ...

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However, using decision trees, the oscillatory stability can be predicted based on a few selected inputs ... In this paper, a genetic algorithm is implemented to search for the best set of inputs ...

What is the Random Forest Algorithm? How does it work? The forest is said to robust when there are a lot of trees in the forest. Random Forest is an ensemble technique that is a tree-based algorithm.

Considering these aspects, in this study, NO 3, K, and Ca ISEs were used for monitoring the ion concentrations in recycled nutrient solutions, and a decision-tree-based dosing algorithm was ...