Classification of Iris dataset using Bayesian Models

Sharma, Shruti and Chopra, Khyati (2023) Classification of Iris dataset using Bayesian Models. In: Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India.

[thumbnail of 53835.pdf] PDF
53835.pdf

Download (310kB)

Abstract

Classification of Iris flower dataset is the best known problem to be found in the pattern recognition literature. It contains four attributes of the flowers belonging to three different species. The objective is to design a model which can differentiate the species based on the attributes of the fl

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:13
Last Modified: 17 Apr 2026 03:18
URI: http://eprints.eai.eu/id/eprint/42842

Actions (login required)

View Item
View Item