During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

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 ...

I’m currently experiencing a return to fiction. It started last year, after spending the better part of the decade deep in the world of nonfiction: mostly memoirs, essays and hard-to-categorize books ...

This boilerplate is designed to kickstart data science projects by providing a basic setup for database connections, data processing, and machine learning model development. It includes a structured ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Abstract: A well-known and frequently used machine learning method, the Naive Bayes algorithm has attracted a lot of interest in a number of fields. The Naive Bayes algorithm, along with its benefits, ...

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 ...

Cardiac disease refers to diseases that affect the heart such as coronary artery diseases, arrhythmia and heart defects and is amongst the most difficult health conditions known to humanity. According ...

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 of Computer Science, Souht East ...