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An illustration of a magnifying glass. An illustration of a magnifying glass.

This notebook looks into using various python-based machine learning and data science libraries in an attempt to build a ML model capable of predicting whether or not someone has heart disease based ...

Use git clone to get a copy of this repository. Binary classification refers to those classification tasks that have two class labels, such as email spam detection (spam or not). Typically, binary ...

Abstract: Binary classifiers have typically been the norm for building classification models in the Machine Learning community. However, an alternate to binary classification is one-class ...

In this paper, we propose a Smooth Quantile Boost Classification (SQBC) algorithm for binary classification problem. The SQBC algorithm directly uses a smooth function to approximate the “check ...

Abstract: In this paper, we propose a new clustering-based binary-class classification framework that integrates the clustering technique into a binary-class classification approach to handle the ...