“…We compared KNN, XGBoost, random forest, as well as neural network-based picture augmentation methods in this article and discovered that XGBoost outperformed the other models. The developed model is accurate enough [27].…”
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
“…We compared KNN, XGBoost, random forest, as well as neural network-based picture augmentation methods in this article and discovered that XGBoost outperformed the other models. The developed model is accurate enough [27].…”
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
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