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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Heuristics prediction of olympic medals using machine learning


    Beteiligte:


    Erscheinungsdatum :

    01.04.2017


    Format / Umfang :

    255852 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Wind, rain and medals

    Online Contents | 1996



    Airborne Collision Risk Prediction with Crewed Traffic Using Heuristics

    Daniel, Brandon J. / Koohi, Arezou / Gao, Huina et al. | TIBKAT | 2023



    Anti-theft system by location prediction based on heuristics and learning

    ZHANG YU / VANG DOUA / ALASRY BILAL et al. | Europäisches Patentamt | 2019

    Freier Zugriff