Instance Selection + C4.5 on Wine
% 21/11/2009 17:11
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
Wine
| Accuracy | Compression | Rules | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| mean | std. | mean | std. |
mean | std. |
| C4.5 | 92.03 | 7.07 | 100.00 | 0.00 | 4.52 | 0.72 | |
| EkPs60p1 | 39.91  | 11.44 | 1.87 | 0.00 | 1.00 | 0.00 | ||||
| EkPs60p3 | 85.80 | 8.54 | 5.62 | 0.01 | 3.00 | 0.00 | ||||
| EkPs60p5 | 85.74 | 9.04 | 9.36 | 0.02 | 3.00 | 0.00 | ||||
| EkPs60p10 | 87.60 | 7.65 | 18.73 | 0.05 | 3.38 | 0.49 | ||||
| CNN | 82.51 | 11.83 | 15.41 | 2.18 | 3.71 | 0.46 | ||||
| DROP3 | 77.05 | 11.24 | 11.77 | 1.60 | 3.00 | 0.00 | ||||
| DROP5 | 77.52 | 11.02 | 11.35 | 1.46 | 3.00 | 0.00 | ||||
| ENRBF | 79.94 | 11.98 | 12.69 | 1.96 | 3.66 | 0.50 | ||||
| ENN | 89.94 | 7.36 | 97.16 | 0.56 | 3.95 | 0.80 | ||||
| ICF | 76.44 | 12.06 | 13.23 | 2.00 | 3.16 | 0.37 | ||||
| GE | 91.90 | 6.97 | 83.88 | 1.92 | 4.40 | 0.55 | ||||
| RNGE | 82.96 | 9.48 | 21.62 | 1.72 | 4.00 | 0.00 | ||||
| RMHC | 33.14 | 9.79 | 1.87 | 0.00 | 1.00 | 0.00 | ||||
| MC | 33.14 | 9.79 | 1.87 | 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