UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 3 | March 2026

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Published in:

Volume 11 Issue 8
August-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2408490


Registration ID:
547115

Page Number

e847-e855

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Title

IRISFLOWERCLASSIFICATIONUSING MACHINELEARNING

Abstract

The Iris blossom characterisation problem is a fundamental model in the fields of AI and example acknowledgment, typically utilized for foundational goals in information science education and research. Estimates from 150 iris flowers are included in the dataset, which is divided into three species: Iris virginica, Iris versicolor, and Setosa . The four quantitative variables for each sample in the collection are petal width, sepal width, petal length, and sepal length. All measurements are expressed in centimeters. Using these characteristics, the goal is to create a classification model that accurately predicts the species of an iris flower.

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"IRISFLOWERCLASSIFICATIONUSING MACHINELEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 8, page no.e847-e855, August-2024, Available :http://www.jetir.org/papers/JETIR2408490.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IRISFLOWERCLASSIFICATIONUSING MACHINELEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 8, page no. ppe847-e855, August-2024, Available at : http://www.jetir.org/papers/JETIR2408490.pdf

Publication Details

Published Paper ID: JETIR2408490
Registration ID: 547115
Published In: Volume 11 | Issue 8 | Year August-2024
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.41162
Page No: e847-e855
Country: Amaravathi, Andra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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