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