Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Hybridisation of RF(Xgb) to improve the tree-based algorithms in learning style prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybridisation-of-rf-xgb-to-improve-the-tree-based-algorithms-in-learning-style-prediction
MLA“Hybridisation of RF(Xgb) to improve the tree-based algorithms in learning style prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybridisation-of-rf-xgb-to-improve-the-tree-based-algorithms-in-learning-style-prediction.
BibTeX@misc{4ortxyz_hybridisation-of-rf-xgb-to-improve-the-tree-based-algorithms-in-learning-style-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybridisation of RF(Xgb) to improve the tree-based algorithms in learning style prediction}}, year = {2026}, url = {https://4ort.xyz/entity/hybridisation-of-rf-xgb-to-improve-the-tree-based-algorithms-in-learning-style-prediction}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Hybridisation of RF(Xgb) to improve the tree-based algorithms in learning style prediction — https://4ort.xyz/entity/hybridisation-of-rf-xgb-to-improve-the-tree-based-algorithms-in-learning-style-prediction (retrieved 2026-05-24)
