JAMBURA JOURNAL OF PROBABILITY AND STATISTICS
Vol 4, No 2 (2023): Jambura Journal Of Probability and Statistics

Implementasi Algoritma Random Forest dengan Forward Selection untuk Klasifikasi Indeks Pembangunan Manusia

Tiara Posangi (Universitas Negeri Gorontalo)
Lailany Yahya (Universitas Negeri Gorontalo)
Djihad Wungguli ([SINTA ID: 6699847] Department of Mathematics, Universitas Negeri Gorontalo)



Article Info

Publish Date
30 Nov 2023

Abstract

Development is essentially a process of continuous change carried out to achieve better living condition. So that the benchmark for the success of a development is seen in its human development. 3 The basic dimensions that form human development are long and healthy life, knowledge, and a decent life. The indicators that represent the three dimensions are summarized in a single value, namely the Human Development Index (IPM). In 2021 the HDI figure in Indonesia is 72.29, which means it is high. However, due to the diverse geographical location of regions in Indonesia, this also influences the HDI rate in each region in Indonesia, so this study uses the Random Forest Algorithm to obtain accurate results from the HDI classification and uses Forward Selection to determine features that influence the classification. The results of the study show that the features that influence the classification are per capita spending, expected length of schooling, life expectancy, and average length of schooling, and get a final accuracy of 80%.

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Journal Info

Abbrev

jps

Publisher

Subject

Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Social Sciences

Description

Probability Theory Mathematical Statistics Computational Statistics Stochastic Processes Financial Statistics Bayesian Analysis Survival Analysis Time Series Analysis Neural Network Another field which is related to statistics and the applications Another field which is related to Probability and ...