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. | |||||
| ** 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