Abstract: Ensemble learning that combines multiple weak learners for enhanced performance, is widely used but suffers from low interpretability/explainability. This ...
Abstract: The high performance of tree ensemble classifiers benefits from a large set of rules, which, in turn, makes the models hard to understand. To improve interpretability, existing methods ...
This is my solo project for the course CS163 of HCMUS's APCS. The application can visualize hash table, binary tree, AVL tree, 2-3 tree, 2-3-4 tree, heap, trie, and graph.
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