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Instance Selection + C4.5 on Pima Indians Diabetes

17/11/2009 23:11

Test description: 

Crosvalidation test 10x10
Normalization [-1,1]
Vector Selection
Classification=C45

C45 Configuration: 

BinarySplits=False
ConfidenceFactor=0.25
MinNumObj=2
NumFolds=3
ReducedErrorPruning=False
Unpruned=False

Pima Indians Diabetes

Accuracy Compression Rules
mean std. mean std. mean std.
** C4.5** ** 73.23** 4.11 100.00 0.00 ** 7.71** 1.71
EkPs60p1 ** 65.11** :-( 5.21 ** 0.29** :-( 0.00 ** 1.00** :-( 0.00
EkPs60p3 ** 73.72** 4.12 ** 0.87** :-( 0.00 ** 2.00** :-( 0.00
EkPs60p5 ** 73.78** 4.39 ** 1.45** :-( 0.00 ** 2.07** :-( 0.26
EkPs60p10 ** 73.46** 4.25 ** 2.89** :-( 0.00 ** 2.75** :-( 0.64
EkPs10p1 ** 65.11** :-( 5.21 ** 0.29** :-( 0.00 ** 1.00** :-( 0.00
** CNN** ** 71.80** 5.55 ** 50.66** :-( 1.24 ** 3.89** :-( 1.38
** DROP3** ** 71.09** 5.72 ** 12.29** :-( 1.50 ** 5.67** :-( 1.91
** DROP5** ** 71.59** 5.13 ** 17.48** :-( 1.80 ** 5.19** :-( 2.08
** ENRBF** ** 70.74** 6.23 ** 11.07** :-( 0.87 ** 5.15** :-( 1.34
** ENN** ** 74.90** 4.41 ** 85.70** :-( 0.73 ** 9.47** 1.98
** ICF** ** 69.62** 7.14 ** 23.06** :-( 1.20 ** 3.73** :-( 1.27
** GE** ** 73.53** 4.07 ** 94.62** :-( 0.58 ** 7.40** 1.61
** RNGE** ** 72.31** 4.82 ** 60.03** :-( 1.02 ** 4.61** :-( 1.42
** RMHC** ** 65.11** :-( 5.21 ** 0.29** :-( 0.00 ** 1.00** :-( 0.00
** MC** ** 65.11** :-( 5.21 ** 0.29** :-( 0.00 ** 1.00** :-( 0.00

:-) statistically significant improvement, :-( significant degradation

EkPs60p1 Configuration: 

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=1
NumSimplexPoints=60

EkPs60p3 Configuration: 

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=3
NumSimplexPoints=60

EkPs60p5 Configuration: 

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=5
NumSimplexPoints=60

EkPs60p10 Configuration: 

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=10
NumSimplexPoints=60

EkPs10p1 Configuration: 

Classifier=C45
PostClassifier=C45
CostTolerance=1E-16
MaxNumCostCalls=300
MaxSimplexIters=200
NumFolds=-1
NumProtoPerClass=1
NumSimplexPoints=60

CNN Configuration: 

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean

DROP3 Configuration: 

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Order=EnemyDistance
ENN=True
IncludePruned=True

DROP5 Configuration: 

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Order=EnemyDistanceAndReverse
ENN=False
IncludePruned=True

ENRBF Configuration: 

Sigma=0.5
Strenght=0.05
RemoveNoise=True
Tolerance=0.95
Metric=Intemi.Metric.SquareEuclidean

ENN Configuration: 

Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
Repeated=False

ICF Configuration: 

Metric=Intemi.Metric.SquareEuclidean
Filter=(ENN using kNN k=3)

GE Configuration: 

Metric=Intemi.Metric.SquareEuclidean
MeighboursType=Gabriel

RNGE Configuration: 

Metric=Intemi.Metric.SquareEuclidean
MeighboursType=Relative

RMHC Configuration: 

Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
Search=randomMutation
Mutations=1000

MC Configuration: 

Classifier=kNN k=1, Metric=Intemi.Metric.SquareEuclidean
Search=monteCarlo
Mutations=1000