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Predictive Models of Student College Commitment Decisions Using Machine Learning
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Outgoing claims: the papers this work cites, builds on, or argues with.
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The Boosting Approach to Machine Learning: An Overview
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
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An Introduction to Statistical Learning
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Top 10 algorithms in data mining
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Educational data mining: A survey from 1995 to 2005
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Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
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Predicting Dropout Student: An Application of Data Mining Methods in an Online Education Program
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The class imbalance problem: A systematic study1
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Machine Learning-Based App for Self-Evaluation of Teacher-Specific Instructional Style and Tools
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Scikit-learn: Machine Learning in Python
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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