Instance Selection + C4.5 on Statlog Heart
# 20/11/2009 21:11
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
Statlog heart
| Accuracy | Compression | Rules | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| mean | std. | mean | std. | mean | std. | | C4.5 | 77.37 | 7.66 | 100.00 | 0.00 | 17.99 | 2.53 | |
| EkPs60p1 | 55.56  | 9.03 | 0.82 | 0.00 | 1.00 | 0.00 | ||||
| EkPs60p3 | 72.48 | 8.92 | 2.47 | 0.00 | 2.00 | 0.00 | ||||
| EkPs60p5 | 71.70 | 8.66 | 4.12 | 0.00 | 2.53 | 0.54 | ||||
| EkPs60p10 | 79.15 | 7.78 | 8.23 | 0.00 | 3.66 | 0.54 | ||||
| CNN | 71.74 | 9.17 | 43.39 | 2.42 | 14.02 | 2.06 | ||||
| DROP3 | 73.37 | 9.10 | 12.00 | 1.58 | 3.64 | 1.02 | ||||
| DROP5 | 74.26 | 10.48 | 12.21 | 2.62 | 4.18 | 1.10 | ||||
| ENRBF | 71.85 | 9.40 | 7.16 | 1.21 | 3.35 | 1.06 | ||||
| ENN | 79.26 | 6.60 | 89.67 | 1.01 | 12.32 | 1.93 | ||||
| ICF | 73.22 | 9.19 | 24.72 | 2.50 | 8.33 | 1.49 | ||||
| GE | 77.89 | 7.99 | 98.45 | 0.65 | 17.96 | 2.55 | ||||
| RNGE | 73.41 | 8.88 | 51.95 | 2.11 | 15.81 | 2.24 | ||||
| RMHC | 55.56 | 9.03 | 0.82 | 0.00 | 1.00 | 0.00 | ||||
| MC | 55.56 | 9.03 | 0.82 | 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