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