

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

Search Method:
	Attribute ranking.

Attribute Evaluator (supervised, Class (numeric): 5 Class):
	ReliefF Ranking Filter
	Instances sampled: all
	Number of nearest neighbours (k): 10
	Equal influence nearest neighbours

Ranked attributes:
 0.4939  3 Numeric1
 0.0914  2 Nominal2
 0.0649  1 Nominal1
 0       4 Date1

Selected attributes: 3,2,1,4 : 4



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

Search Method:
	Attribute ranking.

Attribute Evaluator (supervised, Class (nominal): 5 Class):
	ReliefF Ranking Filter
	Instances sampled: all
	Number of nearest neighbours (k): 10
	Equal influence nearest neighbours

Ranked attributes:
 1.00000000000000064   1 Nominal1
 0.75220852485632192   3 Numeric1
 0.473571428571428544  2 Nominal2
 0                     4 Date1

Selected attributes: 1,3,2,4 : 4



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

Search Method:
	Attribute ranking.

Attribute Evaluator (supervised, Class (numeric): 5 Class):
	ReliefF Ranking Filter
	Instances sampled: all
	Number of nearest neighbours (k): 10
	Equal influence nearest neighbours

Ranked attributes:
NaN  4 Date1
NaN  3 Numeric1
NaN  2 Nominal2
NaN  1 Nominal1

Selected attributes: 4,3,2,1 : 4

