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Algorithm for the Identification of Student Desertion: Logistic Regression Algorithm for the Identification of Student Attrition - Softcover
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Algorithm for the Identification of Student Desertion
Verlag:
Omniscriptum, Sciencia Scripts Sep 2024, 2024
ISBN 10: 6208085764
ISBN 13: 9786208085766
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Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
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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Algorithm for the Identification of Student Desertion
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. 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
Anzahl: 2 verfügbar
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Algorithm for the Identification of Student Desertion : Logistic Regression Algorithm for the Identification of Student Attrition
Print-on-DemandAnbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
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
Anzahl: 1 verfügbar