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dc.rights.licenseAll rights reserveden_US
dc.contributor.advisorDuffany, Jeffrey
dc.contributor.authorRíos Canales, Victor
dc.date.accessioned2020-09-16T13:40:28Z
dc.date.available2020-09-16T13:40:28Z
dc.date.issued2016
dc.identifier.citationRíos Canales, V. (2016). Using a supervised learning model: two-class boosted decision tree algorithm for income prediction [Unpublished manuscript]. Graduate School, Polytechnic University of Puerto Rico.en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12475/557
dc.descriptionDesign Project Article for the Graduate Programs at Polytechnic University of Puerto Ricoen_US
dc.description.abstractPeople always try to think or ponder about things in advance regarding the decisions they make, whether if it is a good idea or even if it is not a good idea. If the person has all the correct and necessary information, good chances are that the decision will be beneficial at the end of the day. Sometimes in real life we tend to miss specific details, which need to be pondered about in order to make an assertive decision. This is when predictive analytics enters in action. These mathematical models involve statistics in order to get the most accurate and precise result so we can make an assertive decision. In these modern days where artificial intelligence is no longer a fiction movie from the past, there is a new tool called Machine Learning which we can use as a means to help us achieve precision when making or predicting an event. In this particular project the objective is to determine if there is a direct relationship between the academic educations of a person with his income. Key Terms - Artificial Intelligence, Income, Machine Learning, Predictive Analytics.en_US
dc.language.isoen_USen_US
dc.publisherPolytechnic University of Puerto Ricoen_US
dc.relation.ispartofComputer Engineering;
dc.relation.ispartofseriesSpring-2016;
dc.relation.haspartSan Juanen_US
dc.subject.lcshSocial prediction--Mathematical models
dc.subject.lcshEducation--Economic aspects
dc.subject.lcshMachine learning
dc.subject.lcshMathematical statistics--Data processing
dc.subject.lcshArtificial intelligence
dc.subject.lcshPolytechnic University of Puerto Rico--Graduate students--Research
dc.titleUsing a Supervised Learning Model: Two-Class Boosted Decision Tree Algorithm for Income Predictionen_US
dc.typeArticleen_US
dc.rights.holderPolytechnic University of Puerto Rico, Graduate Schoolen_US


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