projects:models:vectorsselection:testdropuci [Marek Grochowski]

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====== 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