Regressiontree Analysis Withcartalgorithm: GII Predictionusing NRI Indicators
Journal Title: International Journal of engineering Research and Applications - Year 2018, Vol 8, Issue 6
Abstract
In these days, innovation levels and capacities of the countries are of great importance both in terms of competitiveness and the Industry 4.0 revolution that we have been experiencing. In this context, capacity and level are relative concepts and on a global basis, there is a great need for a common measuring system in terms of comparisons. The Networked Readiness Index (NRI) and The Global Innovation Index (GII) are important global indexes with effective and academic infrastructure in identifying countries' innovation levels. This study has been conducted by using regression tree technique, which is one of data mining techniques, with the GII score and the indicators in the pillar under the sub-indexes of the NRI. Classification and Regression Tree (CART) analysis was applied for GII prediction based on NRI indicators and determining the NRI indicators that provide the best resolution. In the application, the model with the lowest error squares averages has been proposed and thus it is expected that this model will be used to make predictions in future studies.
Authors and Affiliations
Merve Doğruel Anuşlu, SeniyeÜmit Fırat
Keywords
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- EP ID EP394366
- DOI 10.9790/9622-0806026174.
- Views 130
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