???
17/11/2009 03:11
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
Accuracy
| Iris ** ^^ **Wine ** ^^ | | mean | std. | mean | std. | | *EkPs60p1* | ** 22.00 | 6.46 | ** 39.91** | 11.44 | |
|---|---|---|---|---|
| ** CNN** | ** 81.60** | 11.53 | ** 83.31** | 10.94 |
| ** DROP3** | ** 90.40** | 8.44 | ** 77.05** | 11.24 |
statistically significant improvement,
significant degradation
Compression
| Iris ** ^^ **Wine ** ^^ | | mean | std. | mean | std. | | *EkPs60p1* | ** 2.22 | 0.00 | ** 1.87** | 0.00 | |
|---|---|---|---|---|
| ** CNN** | ** 15.43** | 2.10 | ** 15.49** | 2.41 |
| ** DROP3** | ** 9.70** | 1.41 | ** 11.77** | 1.60 |
statistically significant improvement,
significant degradation
Rules
| Iris ** ^^ **Wine ** ^^ | | mean | std. | mean | std. | | *EkPs60p1* | ** 1.00 | 0.00 | ** 1.00** | 0.00 | |
|---|---|---|---|---|
| ** CNN** | ** 3.73** | 0.94 | ** 3.75** | 0.44 |
| ** DROP3** | ** 3.00** | 0.00 | ** 3.00** | 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=10
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