Hello everyone, I'm new using WEKA.I am developing a solar radiation prediction project with some meteorological variables as input of the model: Hours of solar brightness, cloudiness, maximum temperature, minimum temperature, relative humidity, etc.
I used WEKA as a tool to identify which of these input variables are the most relevant and correlated in relation to solar radiation.
I chose Select Attributes: PrincipalComponents as an attribute evaluator and the Ranker search method.
I got the following results:
Evaluator: weka.attributeSelection.PrincipalComponents -R 0.95 -A 5 Search: weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1 Relation: solarradiation Instances: 1275 Attributes: 8 HorasBrillo Nubosidad TempMax TempMin HumedadRelativa VeloViento Precipitacion Radiacion Evaluation mode: evaluate on all training data
=== Attribute Selection on all input data ===
Search Method: Attribute ranking.
Attribute Evaluator (unsupervised): Principal Components Attribute Transformer