Relative Humidity Prediction using XGBoost Machine Learning Model, Case Study: Bajgah Climatological Station, Iran
given the prevalence of available data for only these two parameters in many parts of the country, various scenarios involving these parameters were studied. The best scenario for predicting relative humidity was obtained using the XGBoost model. To assess the accuracy of the model, the Bajgah regio...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Marvdasht Branch, Islamic Azad University
2024-10-01
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| Series: | مهندسی منابع آب |
| Subjects: | |
| Online Access: | https://wej.marvdasht.iau.ir/article_6240_79924fd1f8d7a607beceff3f7b30dab5.pdf |
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