While methods for comparing two learning algorithms on a single data set have been
scrutinized for quite some time already, the issue of statistical tests for comparisons of more …

BACKGROUND: The widespread availability of new computational methods and tools for
data analysis and predictive modeling requires medical informatics researchers and …

Machine learning (ML) models are now routinely deployed in domains ranging from criminal
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …

As practitioners increasingly deploy machine learning models in critical domains such as
health care, finance, and policy, it becomes vital to ensure that domain experts function …

Widespread testing and isolation of infected patients is a cornerstone of viral outbreak
management, as underscored during the ongoing COVID-19 pandemic. Here, we report a …

Scikit-learn is an increasingly popular machine learning li-brary. Written in Python, it is
designed to be simple and efficient, accessible to non-experts, and reusable in various …

In this paper, we explore student dropout behavior in Massive Open Online Courses
(MOOC). We use as a case study a recent Coursera class from which we develop a survival …

Abstract The Support Vector Machine (SVM) is a widely used classifier in bioinformatics.
Obtaining the best results with SVMs requires an understanding of their workings and the …

Pattern is a package for Python 2.4+ with functionality for web mining (Google+ Twitter+
Wikipedia, web spider, HTML DOM parser), natural language processing (tagger/chunker, n …

This paper introduces a software tool named KEEL which is a software tool to assess
evolutionary algorithms for Data Mining problems of various kinds including as regression …