Performance comparison of ML algorithms across multiple evaluation metrics.

<p>Performance comparison of ML algorithms across multiple evaluation metrics.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Muhammad Tausif (12385892) (author)
مؤلفون آخرون:	Muhammad Waseem Iqbal (17817213) (author), Rab Nawaz Bashir (20678419) (author), Bayan AlGhofaily (20678422) (author), Alex Elyassih (20678425) (author), Amjad Rehman Khan (20678428) (author)
منشور في:	2025
الموضوعات:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified water resource management single specific area random forest regressor proposed model using mean absolute error federated learning approach federated global model decision tree regressor 33 mm day three geographical locations machine learning performance analysis results suggest diverse weather conditions sup >&# 8722 data transfer limitations accurate reference evapotranspiration selected three locations ></ sub >). div >< p selected local location sub >< ></ sub selected location multiple locations performance yields local evapotranspiration based analysis weather parameters weather data selected site wind speed svr ), study intends problematic due privacy concerns one place maximum temperature influential factors feature importance existing approaches evaluation reveals dtr ), also performed 18 %.
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