IEEE

Comparing Logistic Regression Algorithm with K-Nearest Neighbor Algorithm to Extract Features from Images for Prescriptive Analysis of Mushroom Contamination

Abstract: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
Scientific Research Publishing

Miloud Aouidate, A. and Baba Ali, A.R. (2013) IDS False Alarm Reduction Using an Instance Selection KNN Memetic Algorithm. International Journal of Metaheuristics, 2, No. 4.

ABSTRACT: Cybersecurity has emerged as a global concern, amplified by the rapid expansion of IoT devices and the growing digitization of systems. In this context, traditional security solutions such ...
Frontiers

Predictive model establishment for forward-head posture disorder in primary-school-aged children based on multiple machine learning algorithms

Background: Forward head posture frequently occurs among primary school children, potentially due to prolonged sedentary behavior associated with academic demands and reduced physical activity.
Visual Studio Magazine

Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...
Scientific Research Publishing

An Analysis and Prediction of Health Insurance Costs Using Machine Learning-Based Regressor Techniques ()

1 Tata Consultancy Services, Charlotte, NC, USA. 2 Mitaja Corportaion, Woodlawn, MD, USA. 3 Adobe, Seattle, WA, USA. 4 Microsoft, Charlotte, NC, USA. 5 Ally Financial ...
GitHub

knn-regression

I'm attempting the NYC Taxi Duration prediction Kaggle challenge. I'll by using a combination of Pandas, Matplotlib, and XGBoost as python libraries to help me understand and analyze the taxi dataset ...