Which algorithm is used to split data into subsets while at the same time an associated decision tree is incrementally developed?
- K-Means Clustering
- Random Forest
- AdaBoost
- Gradient Boosting
The algorithm used for this purpose is Random Forest. It's an ensemble learning method that builds multiple decision trees and aggregates their results. As the data is split into subsets, the decision tree is developed incrementally, making it a powerful algorithm.
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