This project implements and compares two multiclass classification algorithms: one-vs-all and all-pairs. Both approaches were implemented using our own implementation of binary logistic regression.

In this presentation, we'll explore different algorithms suitable for multi-class classification, with a focus on their implementation in Python. The One-vs-Rest strategy, also known as One-vs-All, is ...

Abstract: Multiclass cancer classification is still a challenging task in the field of machine learning. A novel multiclass approach is proposed in this work as a ...

Our paper is organized as follows. In Section 2, we present the general description of the proposed quantum algorithm that is used for multiclass classification. In Section 3, we provide in-detail ...

The system is also called AutomatedML and auto-train. After identifying the best multiclass classification algorithm and saving the trained model, the AutoML tools created two Visual Studio projects ...

Most previous works focus on binary classification, limited number of ML algorithms and even a single dataset. In this paper, we present both a binary and multiclass PE malware classification using ...