Machine learning interview questions now focus on both theory and real-world applications.Understanding basics like overfitting, bias, and regres ...

This paper proposes a Random Forest (RF) machine learning algorithm-based prediction model for the state of charge (SoC) level of lithium-ion batteries for electric vehicles. To show the effectiveness ...

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.

This study explores the application of machine learning algorithms, specifically decision tree and random forest models, to predict house prices within the Indian real estate market. Utilizing a ...

Machine Learning Models Random Forest Random Forest is a versatile machine learning algorithm that is effective in handling large datasets with multiple features. By constructing a multitude of ...

In the second part of the analysis, three machine learning models—Logistic Regression, Random Forest, and XGBoost—were implemented for predictive performance. Logistic Regression outperformed others ...

Keywords: colorectal polyps, random forests, machine learning, colorectal cancer prevention, risk prediction model, artificial intelligence Citation: Avram M-F, Lupa N, Koukoulas D, Lazăr D-C, Mariș M ...