Instance Selection + C4.5 on Pima Indians Diabetes
17/11/2009 23:11
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
Pima Indians Diabetes
| Accuracy | Compression | Rules | ||||
|---|---|---|---|---|---|---|
| mean | std. | mean | std. | mean | std. | |
| ** C4.5** | ** 73.23** | 4.11 | 100.00 | 0.00 | ** 7.71** | 1.71 |
| EkPs60p1 | ** 65.11**  | 5.21 | ** 0.29** | 0.00 | ** 1.00** | 0.00 |
| EkPs60p3 | ** 73.72** | 4.12 | ** 0.87** | 0.00 | ** 2.00** | 0.00 |
| EkPs60p5 | ** 73.78** | 4.39 | ** 1.45** | 0.00 | ** 2.07** | 0.26 |
| EkPs60p10 | ** 73.46** | 4.25 | ** 2.89** | 0.00 | ** 2.75** | 0.64 |
| EkPs10p1 | ** 65.11** | 5.21 | ** 0.29** | 0.00 | ** 1.00** | 0.00 |
| ** CNN** | ** 71.80** | 5.55 | ** 50.66** | 1.24 | ** 3.89** | 1.38 |
| ** DROP3** | ** 71.09** | 5.72 | ** 12.29** | 1.50 | ** 5.67** | 1.91 |
| ** DROP5** | ** 71.59** | 5.13 | ** 17.48** | 1.80 | ** 5.19** | 2.08 |
| ** ENRBF** | ** 70.74** | 6.23 | ** 11.07** | 0.87 | ** 5.15** | 1.34 |
| ** ENN** | ** 74.90** | 4.41 | ** 85.70** | 0.73 | ** 9.47** | 1.98 |
| ** ICF** | ** 69.62** | 7.14 | ** 23.06** | 1.20 | ** 3.73** | 1.27 |
| ** GE** | ** 73.53** | 4.07 | ** 94.62** | 0.58 | ** 7.40** | 1.61 |
| ** RNGE** | ** 72.31** | 4.82 | ** 60.03** | 1.02 | ** 4.61** | 1.42 |
| ** RMHC** | ** 65.11** | 5.21 | ** 0.29** | 0.00 | ** 1.00** | 0.00 |
| ** MC** | ** 65.11** | 5.21 | ** 0.29** | 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
EkPs10p1 Configuration:
Classifier=C45 PostClassifier=C45 CostTolerance=1E-16 MaxNumCostCalls=300 MaxSimplexIters=200 NumFolds=-1 NumProtoPerClass=1 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