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PREDIKSI KUALITAS UDARA MENGGUNAKAN METODE ENSEMBLE PADA MODEL DECISION TREE lD.3, RANDOM FOREST DAN REGRESI LOGISTIK MULTINOMIAL

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Penilaian

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Air quality is one of the important components for living things on the earth's surface, especially for humans. Air quality must be maintained and maintained so as not to experience a decrease in quality caused by weather factors. Air quality is one of the causes of human health problems. Therefore, the purpose of this study is to predict air quality using the Ensemble method using three classification models. The use of the ensemble method aims to minimize errors in classification and get a better level of accuracy. The data used in this study has 21 variables with a total of 2502 data. The classification uses the Ensemble Majority vote method based on three algorithm models Decision Tree, Random For est and Multinomial Logistics Regression. The results of this study indicate that the level of accuracy of air quality prediction using the Ensemble Majority Vote method obtained an accuracy value of 99.31%, macro precision of 78.45%, and macro recall of 78.63%, macro fscore of 78.54%, for precision, recall and micro fscore have the same value, namely 98.28%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207003066	T76549	T765492022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T765492022

Publisher

Inderalaya : Jurusan Matematika, Fakultas Matematika Dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2022

Collation

xv, 81 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

519.530 7

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Matematika statistikal deskriptif
Jurusan Matematika

Specific Detail Info

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Statement of Responsibility

SEPTA

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