Home ›
Entities
› academia
› Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables
Research article (International Journal of Environmental Research and Public Health, 2021) · cited 141× · AI/ML
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables
Summary
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables is a scholarly article[1].
Key Facts
Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparison-of-random-forest-and-gradient-boosting-machine-models-for-predicting-demolition-waste-based-on-small-datasets
MLA“Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/comparison-of-random-forest-and-gradient-boosting-machine-models-for-predicting-demolition-waste-based-on-small-datasets.
BibTeX@misc{4ortxyz_comparison-of-random-forest-and-gradient-boosting-machine-models-for-predicting-demolition-waste-based-on-small-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables}}, year = {2026}, url = {https://4ort.xyz/entity/comparison-of-random-forest-and-gradient-boosting-machine-models-for-predicting-demolition-waste-based-on-small-datasets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Comparison of Random Forest and Gradient Boosting Machine Models for Predicting Demolition Waste Based on Small Datasets and Categorical Variables — https://4ort.xyz/entity/comparison-of-random-forest-and-gradient-boosting-machine-models-for-predicting-demolition-waste-based-on-small-datasets (retrieved 2026-05-24)
