Research Article
Effective Estimation of Hourly Global Solar Radiation Using Machine Learning Algorithms
Table 4
Output of a sample feature selection process applied to the dataset of Isparta.
| Evaluator | weka.attributeSelection.CfsSubsetEval -P 1 -E 1 | Search | weka.attributeSelection.BestFirst -D 1 -N 5 | Instances | 17584 | Attributes | 10 (Year, Month, Day, Hour, Pressure, Temp, Humidity, W.Speed, H.S.Duration, S.Radiation) | Evaluation mode | 10-fold cross-validation | Number of folds (%) | Attribute | 10 (100%) | 1 Year | 0 (0%) | 2 Month | 0 (0%) | 3 Day | 0 (0%) | 4 Hour | 0 (0%) | 5 Pressure | 0 (0%) | 6 Temp | 10 (100%) | 7 Humidity | 0 (0%) | 8 W.Speed | 10 (100%) | 9 H.S.Duration |
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