Entrepreneurship Intention Prediction using Decision Tree and Support Vector Machine

Andysah Putera Utama Siahaan and Muhammad Dharma Tuah Putra Nasution
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Andysah Putera Utama Siahaan: Universitas Pembangunan Panca Budi

No mznhb, INA-Rxiv from Center for Open Science

Abstract: This study discusses the prediction model of entrepreneurship intent for alumni. The data is obtained from the database of an online job market, alumni tracer and survey results to the alumni. This research applies the C4.5 decision tree algorithm to get a prediction model that shows the intention of entrepreneurship. Some essential indicators include Self-efficacy, Need for Achievement, Advisory Quotient, Locus of Control and Passion. The predictive model found that the best predictor was Self-efficacy which contributed to influence the entrepreneurship intention with a value of 79.7 percent. The authors recommend to educational institutions to foster candidate interest through curriculum improvement, field practice or learning models in and out of the classroom.

Date: 2018-06-30
New Economics Papers: this item is included in nep-big, nep-cmp and nep-ent
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Persistent link: https://EconPapers.repec.org/RePEc:osf:inarxi:mznhb

DOI: 10.31219/osf.io/mznhb

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