Journal ID : TRKU-04-04-2020-10637
[This article belongs to Volume - 62, Issue - 03]
Total View : 209

Title : Optimizing Business Ability Prediction Using Random Forest, Case Study: Fabric Company in Indonesia

Abstract :

In difficult economic situation, business ability is one main part of business survival. This paper proposes a business ability prediction by using the dataset from the survived SMEs which affected from financial crisis in Indonesia in 1997. We examined 17 features which could be used to predict the business ability by utilized feature rankings. With optimized random forest which obtained by utilizing parameter grid search and feature rankings, we obtained fairly good result in predicting business ability compared with another machine learning approach

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