Classification is a central task in machine learning, underpinning applications in domains such as finance, medicine, engineering, information technology, and biology. However, machine learning ...
Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
Background: Eye-tracking technology has proven to be a valuable tool in detecting visual scanning patterns associated with autism spectrum disorder (ASD). Its advantages in easily obtaining reliable ...
The goal of a machine learning regression problem is to predict a single numeric value. There are roughly a dozen different regression techniques such as basic linear regression, k-nearest neighbors ...
1 PG & Research Department of Computer Science, D.G.Vaishnav College, Chennai, India. 2 PG Department of IT & BCA, D.G.Vaishnav College, Chennai, India. 3 Department ...
1 Department of Computer Engineering, University of Burundi (UB), Bujumbura, Burundi. 2 Ecole Normale Supérieure (ENS), Bujumbura, Burundi. 3 University Research Laboratory in Modeling and Applied ...
Abstract: Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning ...
A Multinomial Naive Bayes Classifier is a type of Naive Bayes algorithm used primarily for text classification tasks, such as spam detection, sentiment analysis, and document categorization. It is ...
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