The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences.
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Mg. Hasem Enrique Curi Villanueva, maestros en gestión de tecnologías de la información y la comunicación, docente universitario con mas de 5 años de experiencia.Dr. Rafael Wilfredo Rojas Bujaico, docente uniersitario con más de 10 años de experiencia.Mg. Carlos Valqui Castañeda, docente universitario con más de 10 años de experiencia.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences. 68 pp. Englisch. Bestandsnummer des Verkäufers 9786208085766
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch. Bestandsnummer des Verkäufers 9786208085766
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of the research was to determine how the logistic regression algorithm influences the identification of student desertion at the University for Andean Development in 2019.The research work has a predictive level of investigation. Surveys were used to a population of 203 students and a sample of 133 students of the first cycle of all study programs of the university.According to the results obtained when implementing the model regarding the personal factors dimension, 11.28% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they always did; as for the Academic Factors dimension, 16.24% mentioned that they never had family type incidences to make the decision to abandon their studies, on the contrary, 23.16% always mentioned that they never had family type incidences to make the decision to abandon their studies. 24% mentioned that they never had academic incidences, which led them to make the decision to abandon their studies and 7.97% always; according to the results obtained with respect to the Socioeconomic Factors dimension, 8.27% of the students stated that they never had social and economic incidences to abandon their studies and 6.02% always had incidences. Bestandsnummer des Verkäufers 9786208085766
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Taschenbuch. Zustand: Neu. Algorithm for the Identification of Student Desertion | Logistic Regression Algorithm for the Identification of Student Attrition | Hasem Enrique Curi Villanueva (u. a.) | Taschenbuch | Englisch | 2024 | Sciencia Scripts | EAN 9786208085766 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 130069574
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