Spis treści

Instance Selection + C4.5 on Appendicitis

17/11/2009 04:11

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

Appendicitis

Accuracy Compression Rules
mean std. mean std. mean std.
** C4.5** ** 85.32** 10.39 100.00 0.00 ** 3.20** 0.67
EkPs60p1 ** 80.18** 11.12 ** 2.10** :-( 0.01 ** 1.00** :-( 0.00
EkPs60p3 ** 84.40** 10.15 ** 6.29** :-( 0.03 ** 2.00** :-( 0.00
EkPs60p5 ** 84.10** 10.29 ** 10.48** :-( 0.05 ** 2.10** :-( 0.30
EkPs60p10 ** 86.06** 10.65 ** 20.96** :-( 0.11 ** 2.86** 0.38
** CNN** ** 80.23** 14.21 ** 36.83** :-( 3.71 ** 1.87** :-( 0.79
** DROP3** ** 83.03** 11.25 ** 7.45** :-( 1.13 ** 2.00** :-( 0.00
** DROP5** ** 76.47** 14.88 ** 8.48** :-( 1.79 ** 2.01** :-( 0.10
** ENRBF** ** 80.77** 16.09 ** 5.20** :-( 1.48 ** 1.86** :-( 0.35
** ENN** ** 83.63** 10.87 ** 92.59** :-( 1.16 ** 3.63** 1.13
** ICF** ** 82.03** 12.07 ** 20.41** :-( 5.00 ** 2.28** :-( 0.49
** GE** ** 84.11** 11.08 ** 54.99** :-( 3.53 ** 3.13** 0.63
** RNGE** ** 80.65** 11.20 ** 37.34** :-( 3.39 ** 1.34** :-( 0.70
** RMHC** ** 80.18** 11.12 ** 2.10** :-( 0.01 ** 1.00** :-( 0.00
** MC** ** 80.18** 11.12 ** 2.10** :-( 0.01 ** 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

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