Instance Selection Methods Comparison
# 02/11/2009 02:11
Test description:
Crosvalidation test 10x10 Normalization [-1,1] Vector Selection Classification=kNN k=1 Metric=Euclidean
| Appendicitis | Breast C.W. | Heart | Diabetes | Iris | Wine | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| acc. | std. | com. | sdt. | acc. | std. | com. | sdt. | acc. | std. | com. | sdt. | acc. | std. | com. | sdt. | acc. | std. | com. | sdt. | acc. | std. | com. | sdt. | |
| CNN | 75.3 | 13.2 | 36.9 | 3.5 | 89.4 | 3.8 | 11.6 | 1.0 | 69.9 | 8.3 | 43.5 | 2.3 | 63.4 | 4.9 | 50.5 | 1.4 | 89.7 | 7.9 | 15.9 | 2.0 | 89.5 | 7.1 | 15.5 | 2.3 |
| DROP1 | NaN | 0.0 | NaN | 0.0 | NaN | 0.0 | NaN | 0.0 | NaN | 0.0 | NaN | 0.0 | 64.3 | 6.1 | 6.1 | 1.5 | 89.9 | 8.9 | 7.3 | 1.3 | 88.2 | 10.0 | 5.8 | 1.0 |
| DROP2 | 83.4 | 10.9 | 8.5 | 1.8 | 94.5 | 3.1 | 2.9 | 0.7 | 76.3 | 8.3 | 12.0 | 2.5 | 68.1 | 5.0 | 17.8 | 1.8 | 92.1 | 8.2 | 10.1 | 1.6 | 92.2 | 6.1 | 11.3 | 1.5 |
| DROP3 | 84.8 | 10.3 | 7.5 | 1.1 | 95.4 | 2.5 | 2.6 | 0.5 | 78.7 | 7.7 | 11.4 | 1.9 | 71.2 | 4.7 | 12.3 | 1.5 | 92.9 | 7.4 | 9.7 | 1.4 | 92.6 | 6.3 | 11.8 | 1.6 |
| DROP5 | 82.7 | 11.9 | 8.5 | 1.8 | 94.5 | 2.8 | 3.0 | 0.7 | 77.1 | 8.3 | 12.2 | 2.5 | 68.3 | 5.7 | 17.9 | 2.1 | 92.8 | 7.6 | 10.1 | 1.6 | 92.5 | 6.2 | 11.3 | 1.5 |
| ENRBF | 84.1 | 10.2 | 5.1 | 1.4 | 89.9 | 9.1 | 1.8 | 0.4 | 68.7 | 9.3 | 7.2 | 1.4 | 72.8 | 5.0 | 11.1 | 0.9 | 93.9 | 6.5 | 12.4 | 1.6 | 89.5 | 7.8 | 12.3 | 2.0 |
| ENN | 83.9 | 10.4 | 92.6 | 1.2 | 96.3 | 1.9 | 97.6 | 0.3 | 77.1 | 8.2 | 89.5 | 1.1 | 73.8 | 4.5 | 85.7 | 0.7 | 95.1 | 5.3 | 96.6 | 0.4 | 95.2 | 5.1 | 97.2 | 0.6 |
| RENN | 83.9 | 10.4 | 92.1 | 1.3 | 96.3 | 1.9 | 97.5 | 0.3 | 77.0 | 8.2 | 88.2 | 1.4 | 73.9 | 4.4 | 83.8 | 0.9 | 95.3 | 5.3 | 96.0 | 0.6 | 95.2 | 5.1 | 97.2 | 0.6 |
| ICF | 81.6 | 10.8 | 20.4 | 5.0 | 94.0 | 2.9 | 3.8 | 0.7 | 74.4 | 8.7 | 24.5 | 2.3 | 69.9 | 5.6 | 23.3 | 1.0 | 92.9 | 7.2 | 29.8 | 4.4 | 91.5 | 6.8 | 13.2 | 2.0 |
| GE | 81.6 | 10.4 | 55.0 | 3.5 | 94.2 | 2.5 | 37.0 | 1.8 | 76.0 | 7.8 | 98.5 | 0.7 | 69.9 | 4.4 | 94.6 | 0.6 | 94.7 | 5.3 | 32.1 | 2.0 | 95.3 | 4.9 | 83.9 | 1.9 |
| RNGE | 79.5 | 11.1 | 37.3 | 3.4 | 90.9 | 3.2 | 12.1 | 0.9 | 74.3 | 7.7 | 51.8 | 2.0 | 66.0 | 4.7 | 60.0 | 1.1 | 89.4 | 7.4 | 15.2 | 1.7 | 91.1 | 6.5 | 21.6 | 1.7 |
| RMHC | 84.8 | 10.2 | 2.1 | 0.0 | 96.2 | 2.3 | 0.3 | 0.0 | 81.9 | 6.8 | 0.8 | 0.0 | 73.6 | 4.4 | 0.3 | 0.0 | 92.1 | 7.7 | 2.2 | 0.0 | 91.3 | 6.9 | 1.9 | 0.0 |
| MC | 84.7 | 10.0 | 2.1 | 0.0 | 96.3 | 2.4 | 0.3 | 0.0 | 81.1 | 8.4 | 0.8 | 0.0 | 73.0 | 5.1 | 0.3 | 0.0 | 92.1 | 7.7 | 2.2 | 0.0 | 90.1 | 9.1 | 1.9 | 0.0 |
CNN Configuration:
Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
DROP1 Configuration:
Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean Order=Random ENN=False IncludePruned=False
DROP2 Configuration:
Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean Order=EnemyDistance ENN=False IncludePruned=True
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
RENN Configuration:
Classifier=kNN k=3, Metric=Intemi.Metric.SquareEuclidean
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