Abstract: This paper compares Random Forest and Logistic Regression for predicting student placement based on age, GPA, failed courses, and attendance. Data preprocessing included normalization, ...

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Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Abstract: Predicting whether an earthquake will generate a tsunami is critical for early warning systems and disaster mitigation. In this study, we present an AI-driven approach to classify ...