{"title":"岭回归算法之学生成绩预测与分类","authors":"Pooja S. S","doi":"10.59544/wkay2529/ngcesi23p112","DOIUrl":null,"url":null,"abstract":"Education system is very old and due to a large population of students, there are some serious issues in analyzing and predicting students’ performance. Every institution has its own set of standards for evaluating student success. In existing system there is no proper procedure for monitoring and analyzing a student’s performance and progress. Here the focus is given to additional external factors like students status, parent occupation etc.. That will be more effective in visualizing and analyzing student’s performance. This project proposed Ridge regression Algorithm is used.","PeriodicalId":315694,"journal":{"name":"The International Conference on scientific innovations in Science, Technology, and Management","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Students Performance Prediction and Classification Using Ridge Regression Algorithm\",\"authors\":\"Pooja S. S\",\"doi\":\"10.59544/wkay2529/ngcesi23p112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Education system is very old and due to a large population of students, there are some serious issues in analyzing and predicting students’ performance. Every institution has its own set of standards for evaluating student success. In existing system there is no proper procedure for monitoring and analyzing a student’s performance and progress. Here the focus is given to additional external factors like students status, parent occupation etc.. That will be more effective in visualizing and analyzing student’s performance. This project proposed Ridge regression Algorithm is used.\",\"PeriodicalId\":315694,\"journal\":{\"name\":\"The International Conference on scientific innovations in Science, Technology, and Management\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The International Conference on scientific innovations in Science, Technology, and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.59544/wkay2529/ngcesi23p112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on scientific innovations in Science, Technology, and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.59544/wkay2529/ngcesi23p112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Students Performance Prediction and Classification Using Ridge Regression Algorithm
Education system is very old and due to a large population of students, there are some serious issues in analyzing and predicting students’ performance. Every institution has its own set of standards for evaluating student success. In existing system there is no proper procedure for monitoring and analyzing a student’s performance and progress. Here the focus is given to additional external factors like students status, parent occupation etc.. That will be more effective in visualizing and analyzing student’s performance. This project proposed Ridge regression Algorithm is used.