Predicting enhancement in knowledge level with random forest machine learning algorithm

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Learning and Change
Published
2025-01-01
DOI
https://doi.org/10.1504/ijlc.2025.10071133
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Predicting enhancement in knowledge level with random forest machine learning algorithm

Faheem Ahmed Khan, Niharika Agrawal, G. A. Lalithamma
International Journal of Learning and Change
Smart Systems and Machine Learning
article

Predicting enhancement in knowledge level with random forest machine learning algorithm

Faheem Ahmed Khan, Niharika Agrawal, G. A. Lalithamma
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Learning and ChangeVol. 17(2)
Climate action
Openalex Percentile: Top 90%
Smart Systems and Machine Learning
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Predicting enhancement in knowledge level with random forest machine learning algorithm — Faheem Ahmed Khan, Niharika Agrawal, et al. · International Journal of Learning and Change (2025) | TGRS Research Map | TGRS