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Abstract: This research aims to study, design, and develop a brain tumor classification system using artificial intelligence, specifically decision tree algorithms. The system's primary objective is ...

Abstract: Classification is the main research target of many algorithms in data mining. Of all the algorithms, decision trees are more preferred by researchers due to their clarity and readability.

When it comes to choosing a tree for a landscape, homeowners consider many things. Some plant trees for their aesthetic appeal, while others do so for their fruit. However, there are also many people ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Fluorimetry, a robust analytical technique widely used for ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

In this study, the author will investigate and utilize advanced machine learning models related to two different methodologies to determine the best and most effective way to predict individuals with ...

ABSTRACT: To make business policy, market analysis, corporate decision, fraud detection, etc., we have to analyze and work with huge amount of data. Generally, such data are taken from different ...

The code uses the scikit-learn machine learning library to train a decision tree on a small dataset of body metrics (height, width, and shoe size) labeled male or female. Then we can predict the ...