Instance Selection + C4.5 on Sonar

# 21/11/2009 15:11

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
Accuracy Compression Rules
mean std.
    mean   |  std.  |
      mean   |  std.  |
C4.5 74.83 10.70 100.00 0.00 7.29 1.07
EkPs60p1 53.40 :-( 9.83 1.07 :-( 0.00 1.00 :-( 0.00
EkPs60p3 72.33 8.72 3.21 :-( 0.01 2.00 :-( 0.00
EkPs60p5 71.99 9.15 5.34 :-( 0.01 2.00 :-( 0.00
EkPs60p10 69.07 10.88 10.68 :-( 0.02 2.38 :-( 0.53
CNN 67.36 11.61 40.97 :-( 2.60 5.41 :-( 0.99
DROP3 66.92 10.60 24.87 :-( 2.65 3.17 :-( 0.65
DROP5 67.05 10.74 26.91 :-( 2.23 3.51 :-( 0.64
ENRBF 60.22 :-( 11.49 13.54 :-( 1.61 2.75 :-( 0.76
ENN 76.50 9.47 92.04 :-( 1.27 6.38 0.90
ICF 71.70 11.27 37.54 :-( 2.11 4.43 :-( 0.59
GE 74.74 10.90 99.99 0.05 7.27 1.07
RNGE 68.41 10.82 45.50 :-( 1.81 5.42 :-( 0.85
RMHC 46.60 :-( 9.83 1.07 :-( 0.00 1.00 :-( 0.00
MC 46.60 :-( 9.83 1.07 :-( 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

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