Open AccessApplying Ensemble Approach on U.S. Census Data Classification
Author(s) -
Raj Kumar Pal,
Jugal Chaturvedi,
V. Sai Teja,
Leena Shibu
Publication year - 2021
Publication title -
international journal of computer science and mobile computing
Language(s) - English
Resource type - Journals
ISSN - 2320-088X
DOI - 10.47760/ijcsmc.2021.v10i09.001
Subject(s) - boosting (machine learning) , census , ensemble learning , artificial intelligence , machine learning , computer science , gradient boosting , econometrics , random forest , mathematics , sociology , demography , population
During this paper, we have a tendency to examine the adult financial gain dataset obtainable at the UC Irvine Machine Learning Repository. To aim predict whether or not associate individual’s financial gain are going to be bigger than $50,000 per annum victimization completely, different boosting and bagging strategies and compare models supported many attributes from the census information.