Kitap bölümü Açık Erişim
This study aims to estimate the evaporation data in the Çorum station. For this purpose, the effect of the training-test ratio on machine learning model performance was evaluated using daily evaporation data from the Çankırı meteorology station. Moreover, Random Forest and GBM algorithms were used to model pan evaporation. The study’s second aim is to investigate the training test rate’s effect on pan evaporation prediction. For this purpose, the training test rates were used as 90-10%, 80-20%, 70- 30%, 60-40%, and 50-50%.
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EVALUATION OF THE EFFECT OF TRAIN-TEST.pdf
md5:b8287c5c85dcd22755fa4b794650f2c0 |
2.1 MB | İndir |
| Tüm sürümler | Bu sürüm | |
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| Görüntülenme | 145 | 146 |
| İndirme | 74 | 74 |
| Veri hacmi | 153.4 MB | 153.4 MB |
| Tekil görüntülenme | 132 | 133 |
| Tekil indirme | 70 | 70 |