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 ...
Hosted on MSN

Logistic Regression in Machine Learning Explained with a Simple Example

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...
Psychology Today

Liars Can Defeat AI Algorithms Using One Simple Technique

For centuries, we have relied on human intuition, behavioral cues, and painstaking manual analysis to determine veracity in written communications. Enter artificial intelligence. AI algorithms, ...
IEEE

A Simple Framework for Predicting Student Dropout Analysis Using Data Mining Algorithms

Abstract: Dropout is an essential concern in the educational sector with implications for students as well as the institutions. This paper proposed a predictive model that uses machine learning ...
Visual Studio Magazine

Random Forest Regression and Bagging Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...