Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Spotting harmful software with machine learning models has become more crucial in cybersecurity. Machine learning can be used to recognize and sort harmful software by looking for specific patterns, ...

In this paper we have used the Decision Tree and Random Forest to build predictive models for classification. The main target of this study is to compare the fairness and bias between Decision Tree ...