Machine Learning Model Building for Predicting Roughness of Prototype built using Rapid Prototyping

Authors

  • Vinayak P B  Assistant Professor, Department of Mechanical Engineering, New Horizon college of Engineering, Bangalore.

Keywords:

Multi Linear Regression, Multi- Collinearity

Abstract

Linear Regression is one the most common algorithm for prediction of continuous response variables. But the accuracy with the prediction is less because of the multi collinearity effects involved in the model. In the case study presented a dataset on predicting the roughness of a rapid prototype is done using multi linear regression model building. The accuracy of the prediction is increased by removing the effects of multi collinearity from the model.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-12-30

Issue

Volume 4, Issue 9, November-December-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Vinayak P B, " Machine Learning Model Building for Predicting Roughness of Prototype built using Rapid Prototyping " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 9, pp.964-967, November-December-2019.