Using Decision Trees and Random Forest Algorithms to Predict and Determine Factors Contributing to First-Year University Students’ Learning Performance
Thao-Trang Huynh-Cam, Long‐Sheng Chen, Huynh Le
Journal
- ISSN / E-ISSN
- — / —
- DOI
- 10.3390/a14110318 ↗
- Volume · Issue · Pages
- 14 · 11 · 318-318
- Publisher
- MDPI AG
- Article URL
- https://doi.org/10.3390/a14110318 ↗
- Article details
- Unverified
Publication date (each date has its type and source)
30 Oct 2021
OpenAlex publication date · source: OpenAlex
| Type | Date | Source |
|---|---|---|
| OpenAlex publication date | 30 Oct 2021 | OpenAlex |
Keywords (as given): first-year students; student performance prediction; early intervention; decision tree; random forest; CART; C5.0; multilayer perceptron; feature importance; maternal occupation; father's occupation; cost of living; admission status
HEC Status at Publication Not the journal's current status
HEC Status at PublicationConclusive
HEC status at publication
Recognized
Based on the recorded HEC dataset applicable to the article's publication date. Listed in the HEC list for hjrs 2021-22 V2.
- Journal
- Algorithms
- Publication date used
- 30 Oct 2021 (OpenAlex publication date)
- Applicable HEC period
- hjrs 2021-22 V2 (version 1) · 01 Jul 2021 – 30 Jun 2022
- Category
- —
- Recognition status
- Recognized (OK_RECORD_FOUND)
- Source
- hjrs-2021-22 row 22528
- Verification status
- Verified against source · last verified 16 Oct 2026
This is an automatically generated summary based on the information available on the publication date. Terms & conditions apply.