A decision tree classifier is a machine learning (ML) prediction system that generates rules such as "IF income < 28.0 AND education >= 14.0 THEN politicalParty = 2." Using a decision tree classifier ...

The most preferred Supervised Machine Learning algorithm, Decision Tree Classifier is used for this purpose. The initial goal of the Decision Tress is to create training ideal which is used to ...

A decision tree is a tree whose internal nodes can be taken as tests (on input data patterns) and whose leaf nodes can be taken as categories (of these patterns). These tests are filtered down through ...

The alternating decision tree learning algorithm. in Proceedings of the 16th International Conference on Machine Learning, (eds. Bratko, I. & Džeroski, S.) 124–133 (Morgan Kaufmann, San ...

Other common machine learning regression algorithms (short of neural networks) include Naive Bayes, Decision Tree, K-Nearest Neighbors, LVQ (Learning Vector Quantization), LARS Lasso, Elastic Net ...

This repository proposed three intrusion detection systems by implementing many machine learning algorithms, including tree-based algorithms (decision tree, random forest, XGBoost, LightGBM, CatBoost ...

Machine learning is useful in parsing the immense amount of information that is consistently and readily available in the world to assist in decision making. Machine learning can be applied in a ...