Classification Decision Tree Algorithm in Predicting Students’ Course Preference
| Autor: | Mengvi P. Gatpandan, Zhaolong Gao, Paulino H. Gatpandan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Computer science Decision tree learning Decision tree Machine learning computer.software_genre Preference Course (navigation) Data set Statistical classification ComputingMilieux_COMPUTERSANDEDUCATION Artificial intelligence Informatization business computer Selection (genetic algorithm) |
| Zdroj: | 2021 2nd International Symposium on Computer Engineering and Intelligent Communications (ISCEIC). |
| DOI: | 10.1109/isceic53685.2021.00026 |
| Popis: | With the continuous development of machine learning, more and more applications are applied to all areas of life. Decision tree algorithm, as a classic algorithm in machine learning, is also widely used in various industries. In recent years, the informatization of the college entrance examination has allowed the admissions department to accumulate a large amount of college entrance examination data. Based on the decision tree algorithm in machine learning, the candidate data is analyzed, and an algorithm for predicting candidates to apply for the major is proposed, and the admission data of a certain university in Yantai is used as an experiment. The data set tests the prediction accuracy of the algorithm. Two complete decision trees have been constructed to provide high school seniors with intelligent decisions and suggestions for a series of basic issues such as college selection, major selection, and voluntary reporting. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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