Predictive Modeling: Techniques, Uses, and Key Takeaways

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.
IEEE

Prediction of the Groundwater Levels Based on Random Forest Regression Algorithm

Abstract: Random forest regression is a widely used machine learning algorithm. In this study, random forest regression is employed to predict groundwater levels. Five influencing factors are ...
IEEE

Machine Learning Approaches for Banana Quality Classification: A Performance Comparison of J48 and Random Forest Algorithms

Abstract: This study evaluates the performance of using machine learning models; J48 and Random Forest to classify bananas quality. The existing methods of visual inspection are qualitative and take ...
Frontiers

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

Background: The “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning ...
Scientific Research Publishing

Salman, H.A., Kalakech, A. and Steiti, A. (2024) Random Forest Algorithm Overview. Babylonian Journal of Machine Learning, 2024, 69-79.

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
labs.sogeti

MACHINE LEARNING ALGORITHMS FOR TEST AUTOMATION

The emergence of using Machine Learning Techniques in software testing started in the 2000s with the rise of Model-Based Testing and early bug prediction models trained on historical defect data. It ...
Scientific Research Publishing

GeeksforGeeks (2024, February 22). Random Forest Algorithm in Machine Learning. GeeksforGeeks.

ABSTRACT: The stock market faces persistent challenges, including inefficiencies, volatility, and barriers to entry, which hinder its accessibility and reliability for investors. This paper explores ...
ahajournals.org

Random Survival Forest Machine Learning for the Prediction of Cardiovascular Events Among Patients With a Measured Lipoprotein(a) Level: A Model Development Study

Numbers are No. (%) unless otherwise noted. ACE indicates angiotensin-converting enzyme; ARB, angiotensin receptor blocker; DPP-4, dipeptidyl peptidase-4; GLP-1, glucagon-like peptide-1; PCSK9, ...