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Testing Machine Learning Models to Identify Computer Science Students at High-risk of Probation.
Hamza Errahmouni Barkam
Max Wang
Barbara Martinez Neda
Sergio Gago Masagué
Published in:
SIGCSE (2) (2022)
Keyphrases
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high risk
machine learning models
computer science students
machine learning algorithms
risk factors
machine learning approaches
spam filtering
prostate cancer
machine learning
computer science
predictive model
data mining
decision making
unsupervised learning