利用机器学习对奥运奖牌进行启发式预测

2017 International conference of Electronics, Communication and Aerospace Technology (ICECA) Pub Date : 2017-04-01 DOI:10.1109/ICECA.2017.8212734

Chandrasegar Thirumalai, S. Monica, A. Vijayalakshmi

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引用次数: 27

摘要

本文确定了一种基于2012年奥运会奖项的国家预测新技术的开发方法。它是Pearson相关系数法、Spearman相关系数法和随线性回归法三种方法的结合。本文的主要思想是比较在同一组数据中Spearman和Pearson相关系数的值。这个例子是关于每个国家获得的奖牌总数和国内生产总值的比较。使用这些方法的结果使用机器学习对奥运会奖牌进行启发式预测。

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Heuristics prediction of olympic medals using machine learning

This paper determines methods to develop a novel technique for predicting a nation in view of the Olympic awards owned by 2012. It is the combination of three methods are Pearson correlation coefficient, Spearman correlation coefficient and along with linear regression. The main idea of the paper is to compare the value of Spearman and Pearson correlation coefficient as there in the same set of data. The example concerns the comparison of the total medals and the GDP (gross domestic product) that has been obtained by each country. The results from using these methods do the heuristics prediction of Olympic medals using machine learning.

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2017 International conference of Electronics, Communication and Aerospace Technology (ICECA)

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