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An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Research article (Journal of Environmental Management, 2022) · cited 181× · AI/ML
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation
Summary
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation is a scholarly article[1].
Key Facts
An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation's instance of is recorded as scholarly article[2].
References
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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). An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and-xgboost-models-for-predicting-daily-pan-evapo
MLA“An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and-xgboost-models-for-predicting-daily-pan-evapo.
BibTeX@misc{4ortxyz_an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and-xgboost-models-for-predicting-daily-pan-evapo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation}}, year = {2026}, url = {https://4ort.xyz/entity/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and-xgboost-models-for-predicting-daily-pan-evapo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation — https://4ort.xyz/entity/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and-xgboost-models-for-predicting-daily-pan-evapo (retrieved 2026-05-24)
