projects:models:vectorsselection:ekp_comparision:wstepne_wyniki:pima_indians_diabetes [Marek Grochowski]

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====== 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