Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...
ABSTRACT: This paper proposes a structured data prediction method based on Large Language Models with In-Context Learning (LLM-ICL). The method designs sample selection strategies to choose samples ...
The workflow encompasses patient datacollection and screening, univariate regression analysis for initial variable selection, systematic comparison of 91 machine learning models,selection and ...
A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...
Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...
Abstract: Cardiovascular diseases are a significant reason of suffering and several healthy years of lives lost as well as deaths in the world at large. There is the possibility of significantly ...
This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...
Abstract: One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, ...
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