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Heterogeneous educational data classiffication at the course level
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In the proposed solution, Random Forests are suggested as an e®ective ensemble model suitable for our heterogeneous data when many single prediction models which are random trees can be built for many various subspaces with di®erent random features in a supervised learning process.
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