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