10.46243/jst.2024.v9.i01.pp89-96 registered
SUPERVISED LEARNING MODELS FOR STUDENT PERFORMANCE
Resolves to https://www.jst.org.in/index.php/pub/article/view/24
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2024.v9.i01.pp89-96
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 bcf21e7a1a0713c2…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
SUPERVISED LEARNING MODELS FOR STUDENT PERFORMANCE (PrincipalTitle)
Published 2024-01-25
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 9 · issue 1 · pages 89–96
Agents
- Dr.SUBBA REDDY BORRA Dr.SUBBA REDDY BORRA (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2024.v9.i01.pp89-96
Abstract
Towards automation to do mundane tasks and the expectations for students already equipped with good programming skills is on the rise. In parallel, there have been a rising number of students who find it difficult to attain the skills necessary in order to get the dream IT job they desire. The aim of this project is to bridge the gap between the employer and the future employee of the company by the use of SPAS at college level. Student performance analysis system (SPAS) is an online web application system which enables students to know prior hand if their level of skills for the placement is enough to get placed or not, given the necessary inputs. SPAS have an intelligent learning algorithm which utilizes a rich database, analyses the records of previous students’ traits and develops a model for further prediction. The performance evaluation of students by SPAS is by the cumulative predictor algorithm involving generation of several random forest trees on the available data. SPAS learn and create its model reaching higher accuracy with increasing data availability.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2024.v9.i01.pp89-96 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | SUPERVISED LEARNING MODELS FOR STUDENT PERFORMANCE (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dr.SUBBA REDDY BORRA Dr.SUBBA REDDY BORRA publisher: Longman Publishers published: 2024-01-25 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 9 · no. 1 · pp. 89–96 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2024-02-16 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
The System Metadata Declaration (JSON) · the Kernel Metadata Declaration (XML) · what each sub-type needs
History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 106 fields set · sha256 f48c168ba2a1… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | abstract.value: agents.0.name.family: agents.0.name.given: container.titles.0.value: |
Machine-readable: the history as JSON, with the full record after each change.
