Classifier: RIMARC
Domain: sampleDataSet.txt
Verbosity: 3
Cross Validation, Number of Folds: 2

Number of instances: 15
Number of features: 3

Fold: 0
Training with instances 8..14
Class counts in the training set: P=2 N=5
categoricF	C	1.0
	green	score=1.0, counts: P=2 N=0
	red	score=0.0, counts: P=0 N=1
	blue	score=0.0, counts: P=0 N=1
	white	score=0.0, counts: P=0 N=1
	yellow	score=0.0, counts: P=0 N=2

ordinalF	N	0.8000001
	4.5..5.5	score=1.0, counts: P=1 N=0
	2.5..4.5	score=0.33333334, counts: P=1 N=2
	<2.5	score=0.0, counts: P=0 N=2
	5.5<	score=0.0, counts: P=0 N=1

numericalF	N	1.0
	8.32<	score=1.0, counts: P=2 N=0
	<8.32	score=0.0, counts: P=0 N=5

Rules learned after training:
categoricF	C	1.0
	green	score=1.0, counts: P=2 N=0
	red	score=0.0, counts: P=0 N=1
	blue	score=0.0, counts: P=0 N=1
	white	score=0.0, counts: P=0 N=1
	yellow	score=0.0, counts: P=0 N=2

ordinalF	N	0.8000001
	4.5..5.5	score=1.0, counts: P=1 N=0
	2.5..4.5	score=0.33333334, counts: P=1 N=2
	<2.5	score=0.0, counts: P=0 N=2
	5.5<	score=0.0, counts: P=0 N=1

numericalF	N	1.0
	8.32<	score=1.0, counts: P=2 N=0
	<8.32	score=0.0, counts: P=0 N=5

Computing scores of instances 0..7
Computing score for instance 0 (class: P)
	categoricF=green weight=1.0 score=1.0
	ordinalF=3.0 (2.5..4.5) weight=0.8000001 score=0.33333334
	numericalF=10.7 (8.32<) weight=1.0 score=1.0
	 TotalScore=2.2666667 TotalWeight=2.8000002 Instance score= 0.80952376
Computing score for instance 1 (class: P)
	categoricF=yellow weight=1.0 score=0.0
	ordinalF=4.0 (2.5..4.5) weight=0.8000001 score=0.33333334
	numericalF=78.9 (8.32<) weight=1.0 score=1.0
	 TotalScore=1.2666667 TotalWeight=2.8000002 Instance score= 0.45238093
Computing score for instance 2 (class: P)
	categoricF=green weight=1.0 score=1.0
	ordinalF=3.0 (2.5..4.5) weight=0.8000001 score=0.33333334
	numericalF=45.6 (8.32<) weight=1.0 score=1.0
	 TotalScore=2.2666667 TotalWeight=2.8000002 Instance score= 0.80952376
Computing score for instance 3 (class: N)
	categoricF=white weight=1.0 score=0.0
	ordinalF=5.0 (4.5..5.5) weight=0.8000001 score=1.0
	numericalF=123.45 (8.32<) weight=1.0 score=1.0
	 TotalScore=1.8000001 TotalWeight=2.8000002 Instance score= 0.64285713
Computing score for instance 4 (class: N)
	categoricF=red weight=1.0 score=0.0
	ordinalF=2.0 (<2.5) weight=0.8000001 score=0.0
	numericalF=-0.5 (<8.32) weight=1.0 score=0.0
	 TotalScore=0.0 TotalWeight=2.8000002 Instance score= 0.0
Computing score for instance 5 (class: N)
	categoricF=white weight=1.0 score=0.0
	ordinalF=3.0 (2.5..4.5) weight=0.8000001 score=0.33333334
	numericalF=90.0 (8.32<) weight=1.0 score=1.0
	 TotalScore=1.2666667 TotalWeight=2.8000002 Instance score= 0.45238093
Computing score for instance 6 (class: N)
	categoricF=red weight=1.0 score=0.0
	ordinalF=2.0 (<2.5) weight=0.8000001 score=0.0
	numericalF=1.0 (<8.32) weight=1.0 score=0.0
	 TotalScore=0.0 TotalWeight=2.8000002 Instance score= 0.0
Computing score for instance 7 (class: N)
	categoricF=blue weight=1.0 score=0.0
	ordinalF=5.0 (4.5..5.5) weight=0.8000001 score=1.0
	numericalF=3.4 (<8.32) weight=1.0 score=0.0
	 TotalScore=0.8000001 TotalWeight=2.8000002 Instance score= 0.2857143

Fold: 1
Training with instances 0..7
Class counts in the training set: P=3 N=5
categoricF	C	0.96000004
	green	score=1.0, counts: P=4 N=0
	yellow	score=0.33333334, counts: P=1 N=2
	red	score=0.0, counts: P=0 N=3
	blue	score=0.0, counts: P=0 N=2
	white	score=0.0, counts: P=0 N=3

ordinalF	N	0.8000001
	2.5..4.5	score=0.75, counts: P=3 N=1
	4.5<	score=0.0, counts: P=0 N=2
	<2.5	score=0.0, counts: P=0 N=2

numericalF	N	1.0
	7.05..84.45	score=1.0, counts: P=3 N=0
	84.45<	score=0.0, counts: P=0 N=2
	<7.05	score=0.0, counts: P=0 N=3

Rules learned after training:
categoricF	C	0.96000004
	green	score=1.0, counts: P=4 N=0
	yellow	score=0.33333334, counts: P=1 N=2
	red	score=0.0, counts: P=0 N=3
	blue	score=0.0, counts: P=0 N=2
	white	score=0.0, counts: P=0 N=3

ordinalF	N	0.8000001
	2.5..4.5	score=0.75, counts: P=3 N=1
	4.5<	score=0.0, counts: P=0 N=2
	<2.5	score=0.0, counts: P=0 N=2

numericalF	N	1.0
	7.05..84.45	score=1.0, counts: P=3 N=0
	84.45<	score=0.0, counts: P=0 N=2
	<7.05	score=0.0, counts: P=0 N=3

Computing scores of instances 8..14
Computing score for instance 8 (class: P)
	categoricF=green weight=0.96000004 score=1.0
	ordinalF=5.0 (4.5<) weight=0.8000001 score=0.0
	numericalF=10.1 (7.05..84.45) weight=1.0 score=1.0
	 TotalScore=1.96 TotalWeight=2.7600002 Instance score= 0.7101449
Computing score for instance 9 (class: P)
	categoricF=green weight=0.96000004 score=1.0
	ordinalF=3.0 (2.5..4.5) weight=0.8000001 score=0.75
	numericalF=87.0 (84.45<) weight=1.0 score=0.0
	 TotalScore=1.5600001 TotalWeight=2.7600002 Instance score= 0.5652174
Computing score for instance 10 (class: N)
	categoricF=white weight=0.96000004 score=0.0
	ordinalF=2.0 (<2.5) weight=0.8000001 score=0.0
	numericalF=-0.7 (<7.05) weight=1.0 score=0.0
	 TotalScore=0.0 TotalWeight=2.7600002 Instance score= 0.0
Computing score for instance 11 (class: N)
	categoricF=yellow weight=0.96000004 score=0.33333334
	ordinalF=6.0 (4.5<) weight=0.8000001 score=0.0
	numericalF=2.34 (<7.05) weight=1.0 score=0.0
	 TotalScore=0.32000002 TotalWeight=2.7600002 Instance score= 0.11594203
Computing score for instance 12 (class: N)
	categoricF=blue weight=0.96000004 score=0.0
	ordinalF=4.0 (2.5..4.5) weight=0.8000001 score=0.75
	numericalF=-23.45 (<7.05) weight=1.0 score=0.0
	 TotalScore=0.6 TotalWeight=2.7600002 Instance score= 0.2173913
Computing score for instance 13 (class: N)
	categoricF=red weight=0.96000004 score=0.0
	ordinalF=4.0 (2.5..4.5) weight=0.8000001 score=0.75
	numericalF=2.2 (<7.05) weight=1.0 score=0.0
	 TotalScore=0.6 TotalWeight=2.7600002 Instance score= 0.2173913
Computing score for instance 14 (class: N)
	categoricF=yellow weight=0.96000004 score=0.33333334
	ordinalF=2.0 (<2.5) weight=0.8000001 score=0.0
	numericalF=6.54 (<7.05) weight=1.0 score=0.0
	 TotalScore=0.32000002 TotalWeight=2.7600002 Instance score= 0.11594203
Sorted curve points:
No: FPR  TPR
0: 0.0 0.0
1: 0.0 0.4
3: 0.0 0.6
4: 0.100000024 0.6
5: 0.100000024 0.8
6: 0.19999999 1.0
8: 0.3 1.0
9: 0.5 1.0
11: 0.7 1.0
13: 1.0 1.0

Overall AUC=0.95
Average time to learn a model: 0 ms.
Average time to test a model: 0 ms.