Journal of the Korean Physical Society

, Volume 71, Issue 12, pp 866–870 | Cite as

Analysis of precision and accuracy in a simple model of machine learning

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Abstract

Machine learning is a procedure where a model for the world is constructed from a training set of examples. It is important that the model should capture relevant features of the training set, and at the same time make correct prediction for examples not included in the training set. I consider the polynomial regression, the simplest method of learning, and analyze the accuracy and precision for different levels of the model complexity.

Keywords

Machine Learning Regression Inference Methods 
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Copyright information

© The Korean Physical Society 2017

Authors and Affiliations

  1. 1.Department of Bioinformatics and Life ScienceSoongsil UniversitySeoulKorea

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