Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945985835> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W2945985835 endingPage "65" @default.
- W2945985835 startingPage "65" @default.
- W2945985835 abstract "Every year, academic institutions invest considerable effort and substantial resources to influence, predict and understand the decision-making choices of applicants who have been offered admission. In this study, we applied several supervised machine learning techniques to four years of data on 11,001 students, each with 35 associated features, admitted to a small liberal arts college in California to predict student college commitment decisions. By treating the question of whether a student offered admission will accept it as a binary classification problem, we implemented a number of different classifiers and then evaluated the performance of these algorithms using the metrics of accuracy, precision, recall, F-measure and area under the receiver operator curve. The results from this study indicate that the logistic regression classifier performed best in modeling the student college commitment decision problem, i.e., predicting whether a student will accept an admission offer, with an AUC score of 79.6%. The significance of this research is that it demonstrates that many institutions could use machine learning algorithms to improve the accuracy of their estimates of entering class sizes, thus allowing more optimal allocation of resources and better control over net tuition revenue." @default.
- W2945985835 created "2019-05-29" @default.
- W2945985835 creator A5029805403 @default.
- W2945985835 creator A5035811250 @default.
- W2945985835 creator A5050323304 @default.
- W2945985835 creator A5077197515 @default.
- W2945985835 date "2019-05-08" @default.
- W2945985835 modified "2023-09-27" @default.
- W2945985835 title "Predictive Models of Student College Commitment Decisions Using Machine Learning" @default.
- W2945985835 cites W1909216329 @default.
- W2945985835 cites W1941659294 @default.
- W2945985835 cites W1994786712 @default.
- W2945985835 cites W1998025025 @default.
- W2945985835 cites W2021601071 @default.
- W2945985835 cites W2027711578 @default.
- W2945985835 cites W2106283291 @default.
- W2945985835 cites W2142827986 @default.
- W2945985835 cites W2148143831 @default.
- W2945985835 cites W2487770199 @default.
- W2945985835 cites W2626322442 @default.
- W2945985835 cites W2739790476 @default.
- W2945985835 cites W2783147400 @default.
- W2945985835 cites W2897487887 @default.
- W2945985835 doi "https://doi.org/10.3390/data4020065" @default.
- W2945985835 hasPublicationYear "2019" @default.
- W2945985835 type Work @default.
- W2945985835 sameAs 2945985835 @default.
- W2945985835 citedByCount "21" @default.
- W2945985835 countsByYear W29459858352019 @default.
- W2945985835 countsByYear W29459858352020 @default.
- W2945985835 countsByYear W29459858352021 @default.
- W2945985835 countsByYear W29459858352022 @default.
- W2945985835 countsByYear W29459858352023 @default.
- W2945985835 crossrefType "journal-article" @default.
- W2945985835 hasAuthorship W2945985835A5029805403 @default.
- W2945985835 hasAuthorship W2945985835A5035811250 @default.
- W2945985835 hasAuthorship W2945985835A5050323304 @default.
- W2945985835 hasAuthorship W2945985835A5077197515 @default.
- W2945985835 hasBestOaLocation W29459858351 @default.
- W2945985835 hasConcept C100660578 @default.
- W2945985835 hasConcept C10138342 @default.
- W2945985835 hasConcept C119857082 @default.
- W2945985835 hasConcept C120912362 @default.
- W2945985835 hasConcept C12267149 @default.
- W2945985835 hasConcept C151956035 @default.
- W2945985835 hasConcept C154945302 @default.
- W2945985835 hasConcept C15744967 @default.
- W2945985835 hasConcept C162324750 @default.
- W2945985835 hasConcept C17744445 @default.
- W2945985835 hasConcept C180747234 @default.
- W2945985835 hasConcept C195487862 @default.
- W2945985835 hasConcept C199539241 @default.
- W2945985835 hasConcept C2777212361 @default.
- W2945985835 hasConcept C37413474 @default.
- W2945985835 hasConcept C41008148 @default.
- W2945985835 hasConcept C66905080 @default.
- W2945985835 hasConcept C95623464 @default.
- W2945985835 hasConceptScore W2945985835C100660578 @default.
- W2945985835 hasConceptScore W2945985835C10138342 @default.
- W2945985835 hasConceptScore W2945985835C119857082 @default.
- W2945985835 hasConceptScore W2945985835C120912362 @default.
- W2945985835 hasConceptScore W2945985835C12267149 @default.
- W2945985835 hasConceptScore W2945985835C151956035 @default.
- W2945985835 hasConceptScore W2945985835C154945302 @default.
- W2945985835 hasConceptScore W2945985835C15744967 @default.
- W2945985835 hasConceptScore W2945985835C162324750 @default.
- W2945985835 hasConceptScore W2945985835C17744445 @default.
- W2945985835 hasConceptScore W2945985835C180747234 @default.
- W2945985835 hasConceptScore W2945985835C195487862 @default.
- W2945985835 hasConceptScore W2945985835C199539241 @default.
- W2945985835 hasConceptScore W2945985835C2777212361 @default.
- W2945985835 hasConceptScore W2945985835C37413474 @default.
- W2945985835 hasConceptScore W2945985835C41008148 @default.
- W2945985835 hasConceptScore W2945985835C66905080 @default.
- W2945985835 hasConceptScore W2945985835C95623464 @default.
- W2945985835 hasIssue "2" @default.
- W2945985835 hasLocation W29459858351 @default.
- W2945985835 hasLocation W29459858352 @default.
- W2945985835 hasOpenAccess W2945985835 @default.
- W2945985835 hasPrimaryLocation W29459858351 @default.
- W2945985835 hasRelatedWork W1566831647 @default.
- W2945985835 hasRelatedWork W2101819884 @default.
- W2945985835 hasRelatedWork W2171095014 @default.
- W2945985835 hasRelatedWork W2438464946 @default.
- W2945985835 hasRelatedWork W2937631562 @default.
- W2945985835 hasRelatedWork W2961085424 @default.
- W2945985835 hasRelatedWork W3004897296 @default.
- W2945985835 hasRelatedWork W3194539120 @default.
- W2945985835 hasRelatedWork W4285106639 @default.
- W2945985835 hasRelatedWork W4379875305 @default.
- W2945985835 hasVolume "4" @default.
- W2945985835 isParatext "false" @default.
- W2945985835 isRetracted "false" @default.
- W2945985835 magId "2945985835" @default.
- W2945985835 workType "article" @default.