<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462022000100295</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-1-4172</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Model for Prediction of the Result of a Soccer Match Based on the Number of Goals Scored by a Single Team]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Gálvez]]></surname>
<given-names><![CDATA[Alba Maribel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Álvarez González]]></surname>
<given-names><![CDATA[Ricardo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez Gálvez]]></surname>
<given-names><![CDATA[Sully]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Anzures García]]></surname>
<given-names><![CDATA[Mario]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Benemérita Universidad de Puebla Facultad de Ciencias de la Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Benemérita Universidad de Puebla Facultad de Ciencias de la Electrónica ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>03</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>1</numero>
<fpage>295</fpage>
<lpage>302</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000100295&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000100295&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000100295&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Soccer is a very popular sport; it is a fine subject of study given the large amount of data it generates. This article presents a model that through Machine Learning algorithms predicts the victory or defeat of a soccer team, based on the number of goals scored. This model applies four machine learning classifiers: Linear Regression, Support Vector Machines, Naive Bayes and Decision Trees. The proposal is supported with data from the Mexican football league from 2012 to March 2020, the study has been divided into two sections: in the first draws are considered and in the second aren&#8217;t, with the purpose of discovering the influence of draw in analysis. With the proposal model accuracy in the range of 81% to 84% was achieved without draws and considering ties the accuracy was in the range of 72% to 75%.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Supervised learning]]></kwd>
<kwd lng="en"><![CDATA[machine learning algorithms]]></kwd>
<kwd lng="en"><![CDATA[assessment metric]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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