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Predicting University Students' Academic Success and Major using Random
  Forests
v1v2v3 (latest)

Predicting University Students' Academic Success and Major using Random Forests

9 February 2018
Cédric Beaulac
Jeffrey S. Rosenthal
ArXiv (abs)PDFHTML

Papers citing "Predicting University Students' Academic Success and Major using Random Forests"

5 / 5 papers shown
Title
Integrating behavior analysis with machine learning to predict online
  learning performance: A scientometric review and empirical study
Integrating behavior analysis with machine learning to predict online learning performance: A scientometric review and empirical study
Jin Yuan
Xuelan Qiu
Jinran Wu
Jiesi Guo
Weide Li
You‐Gan Wang
31
2
0
28 Mar 2024
Temporal and Between-Group Variability in College Dropout Prediction
Temporal and Between-Group Variability in College Dropout Prediction
Dominik Glandorf
Hye Rin Lee
G. Orona
Marina Pumptow
Renzhe Yu
Christian Fischer
50
8
0
12 Jan 2024
Cross-Institutional Transfer Learning for Educational Models:
  Implications for Model Performance, Fairness, and Equity
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity
Joshua Gardner
Renzhe Yu
Quan Nguyen
Christopher A. Brooks
René F. Kizilcec
FedML
97
16
0
01 May 2023
Lost in Translation: Reimagining the Machine Learning Life Cycle in
  Education
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
Lydia T. Liu
Serena Wang
Tolani A. Britton
Rediet Abebe
AI4Ed
76
1
0
08 Sep 2022
BEST : A decision tree algorithm that handles missing values
BEST : A decision tree algorithm that handles missing values
Cédric Beaulac
Jeffrey S. Rosenthal
80
25
0
26 Apr 2018
1