Associate (Apriori):

=== Run information ===

Scheme: weka.associations.Apriori -N 10 -T 0 -C 0.9 -D 0.05 -U 1.0 -M 0.1 -S -1.0 -c -1

Relation: Glass

Instances: 214

Attributes: 10

RI

Na

Mg

Al

Si

K

Ca

Ba

Fe

Type

Select attributes (ChiSquaredAttributeEval – Ranker):

=== Run information ===

Evaluator: weka.attributeSelection.ChiSquaredAttributeEval

Search: weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1

Relation: Glass

Instances: 214

Attributes: 10

RI

Na

Mg

Al

Si

K

Ca

Ba

Fe

Type

Evaluation mode: evaluate on all training data

=== Attribute Selection on all input data ===

Search Method:

Attribute ranking.

Attribute Evaluator (supervised, Class (nominal): 10 Type):

Chi-squared Ranking Filter

Ranked attributes:

187.6856 6 K

172.0743 4 Al

166.3236 8 Ba

147.924 3 Mg

146.9687 7 Ca

117.2646 2 Na

90.6882 1 RI

20.3892 9 Fe

0 5 Si

Selected attributes: 6,4,8,3,7,2,1,9,5 : 9

Visualize: