(b)
(15 points) Apply Weka on this data set for attribute selection by the goodness
measure. Remember to append the Weka report.
=== Run information ===
Evaluator:
weka.attributeSelection.SymmetricalUncertAttributeEval
Search:weka.attributeSelection.Ranker -T
-1.7976931348623157E308 -N -1
Relation:
Table 1-1 Contact Lens Data
Instances:
24
Attributes: 5
Age
Spectacle Prescription
Astigmatism
Tear Production Rate
Recommended Lenses
Evaluation mode:evaluate on all training data
=== Attribute Selection on all input data ===
Search Method:
Attribute
ranking.
Attribute Evaluator (supervised, Class (nominal): 5
Recommended Lenses):
Symmetrical
Uncertainty Ranking Filter
Ranked attributes:
0.4719 4 Tear Production Rate
0.3242 3 Astigmatism
0.0583 2 Spectacle Prescription
0.0271 1 Age
Selected attributes: 4,3,2,1 : 4
