add imbalalanced datasets

data/imbalanced_datasets/abalone-17_vs_7-8-9-10/abalone-17_vs_7-8-9-10-names.txt

+Abalone (Imbalanced: 17 vs 7-8-9-10) data set
+
+1: Description.
+
+An imbalanced version of the Abalone data set, where the possitive examples belong to the class 17 and the negative examples belong to the classes 7-8-9-10.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			2338
+5: Features.			8
+6: Classes.				2
+7: Missing values.		No
+8: IR:					39,31
+
+9: Header.
+
+@relation abalone-17_vs_7-8-9-10
+@attribute Sex {M, F, I}
+@attribute Length real [0.075, 0.815]
+@attribute Diameter real [0.055, 0.65]
+@attribute Height real [0.0, 1.13]
+@attribute Whole_weight real [0.002, 2.8255]
+@attribute Shucked_weight real [0.001, 1.488]
+@attribute Viscera_weight real [5.0E-4, 0.76]
+@attribute Shell_weight real [0.0015, 1.005]
+@attribute Class {positive, negative}
+@inputs Sex, Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight
+@outputs Class

data/imbalanced_datasets/abalone-19_vs_10-11-12-13/abalone-19_vs_10-11-12-13-names.txt

+Abalone (Imbalanced: 19 vs 10-11-12-13) data set
+
+1: Description.
+
+An imbalanced version of the Abalone data set, where the possitive examples belong to the class 19 and the negative examples belong to the classes 10-11-12-13.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			1622
+5: Features.			8
+6: Classes.				2
+7: Missing values.		No
+8: IR:					49,69
+
+9: Header.
+
+@relation abalone-19_vs_10-11-12-13
+@attribute Sex {M, F, I}
+@attribute Length real [0.075, 0.815]
+@attribute Diameter real [0.055, 0.65]
+@attribute Height real [0.0, 1.13]
+@attribute Whole_weight real [0.002, 2.8255]
+@attribute Shucked_weight real [0.001, 1.488]
+@attribute Viscera_weight real [5.0E-4, 0.76]
+@attribute Shell_weight real [0.0015, 1.005]
+@attribute Class {positive, negative}
+@inputs Sex, Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight
+@outputs Class

data/imbalanced_datasets/abalone-20_vs_8-9-10/abalone-20_vs_8-9-10-names.txt

+Abalone (Imbalanced: 20 vs 8-9-10) data set
+
+1: Description.
+
+An imbalanced version of the Abalone data set, where the possitive examples belong to the class 20 and the negative examples belong to the classes 8-9-10.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			1916
+5: Features.			8
+6: Classes.				2
+7: Missing values.		No
+8: IR:					72,69
+
+9: Header.
+
+@relation abalone-20_vs_8-9-10
+@attribute Sex {M, F, I}
+@attribute Length real [0.075, 0.815]
+@attribute Diameter real [0.055, 0.65]
+@attribute Height real [0.0, 1.13]
+@attribute Whole_weight real [0.002, 2.8255]
+@attribute Shucked_weight real [0.001, 1.488]
+@attribute Viscera_weight real [5.0E-4, 0.76]
+@attribute Shell_weight real [0.0015, 1.005]
+@attribute Class {positive, negative}
+@inputs Sex, Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight
+@outputs Class

data/imbalanced_datasets/abalone-21_vs_8/abalone-21_vs_8-names.txt

+Abalone (Imbalanced: 21 vs 8) data set
+
+1: Description.
+
+An imbalanced version of the Abalone data set, where the possitive examples belong to the class 21 and the negative examples belong to the class 8.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			581
+5: Features.			8
+6: Classes.				2
+7: Missing values.		No
+8: IR:					40,5
+
+9: Header.
+
+@relation abalone-21_vs_8
+@attribute Sex {M, F, I}
+@attribute Length real [0.075, 0.815]
+@attribute Diameter real [0.055, 0.65]
+@attribute Height real [0.0, 1.13]
+@attribute Whole_weight real [0.002, 2.8255]
+@attribute Shucked_weight real [0.001, 1.488]
+@attribute Viscera_weight real [5.0E-4, 0.76]
+@attribute Shell_weight real [0.0015, 1.005]
+@attribute Class {positive, negative}
+@inputs Sex, Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight
+@outputs Class

data/imbalanced_datasets/abalone-3_vs_11/abalone-3_vs_11-names.txt

+Abalone (Imbalanced: 3 vs 11) data set
+
+1: Description.
+
+An imbalanced version of the Abalone data set, where the possitive examples belong to the class 3 and the negative examples belong to the class 11.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			502
+5: Features.			8
+6: Classes.				2
+7: Missing values.		No
+8: IR:					32,47
+
+9: Header.
+
+@relation abalone-3_vs_11
+@attribute Sex {M, F, I}
+@attribute Length real [0.075, 0.815]
+@attribute Diameter real [0.055, 0.65]
+@attribute Height real [0.0, 1.13]
+@attribute Whole_weight real [0.002, 2.8255]
+@attribute Shucked_weight real [0.001, 1.488]
+@attribute Viscera_weight real [5.0E-4, 0.76]
+@attribute Shell_weight real [0.0015, 1.005]
+@attribute Class {positive, negative}
+@inputs Sex, Length, Diameter, Height, Whole_weight, Shucked_weight, Viscera_weight, Shell_weight
+@outputs Class

data/imbalanced_datasets/car-good/car-good-names.txt

+Car Evaluation (Imbalanced: good vs rest) data set
+
+1: Description.
+
+An imbalanced version of the Car Evaluation data set, where the possitive examples belong to the class good and the negative examples to the rest of classes.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			1728
+5: Features.			6
+6: Classes.				2
+7: Missing values.		No
+8: IR:					24,04
+
+9: Header.
+
+@relation car-good
+@attribute Buying {vhigh, high, med, low}
+@attribute Maint {vhigh, high, med, low}
+@attribute Doors {2, 3, 4, 5more}
+@attribute Persons {2, 4, more}
+@attribute Lug_boot {small, med, big}
+@attribute Safety {low, med, high}
+@attribute Class {positive, negative}
+@inputs Buying, Maint, Doors, Persons, Lug_boot, Safety
+@outputs Class

data/imbalanced_datasets/car-vgood/car-vgood-names.txt

+Car Evaluation (Imbalanced: vgood vs rest) data set
+
+1: Description.
+
+An imbalanced version of the Car Evaluation data set, where the possitive examples belong to the class vgood and the negative examples to the rest of the classes.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			1728
+5: Features.			6
+6: Classes.				2
+7: Missing values.		No
+8: IR:					25,58
+
+9: Header.
+
+@relation car-vgood
+@attribute Buying {vhigh, high, med, low}
+@attribute Maint {vhigh, high, med, low}
+@attribute Doors {2, 3, 4, 5more}
+@attribute Persons {2, 4, more}
+@attribute Lug_boot {small, med, big}
+@attribute Safety {low, med, high}
+@attribute Class {positive, negative}
+@inputs Buying, Maint, Doors, Persons, Lug_boot, Safety
+@outputs Class

data/imbalanced_datasets/cleveland-0_vs_4/cleveland-0_vs_4-names.txt

+Heart Disease - Cleveland (Imbalanced: 0 vs 4) data set
+
+1: Description.
+
+A imbalanced version of the Cleveland data set, where the possitive examples belong to class 0 and the negative examples belong to the class 4.
+
+2: Type.				Imbalanced
+3: Origin.				Real world
+4: Instances.			177
+5: Features.			13
+6: Classes.				2
+7: Missing values.		No
+8: IR:					12,62
+
+9: Header.
+
+@relation cleveland-0_vs_4
+@attribute age real [29.0, 77.0]
+@attribute sex real [0.0, 1.0]
+@attribute cp real [1.0, 4.0]
+@attribute trestbps real [94.0, 180.0]
+@attribute chol real [126.0, 564.0]
+@attribute fbs real [0.0, 1.0]
+@attribute restecg real [0.0, 2.0]
+@attribute thalach real [96.0, 202.0]
+@attribute exang real [0.0, 1.0]
+@attribute oldpeak real [0.0, 4.4]
+@attribute slope real [1.0, 3.0]
+@attribute ca real [0.0, 3.0]
+@attribute thal real [3.0, 7.0]
+@attribute num {positive, negative}
+@inputs age, sex, cp, trestbps, chol, fbs, restecg, thalach, exang, oldpeak, slope, ca, thal
+@outputs num

data/imbalanced_datasets/dermatology-6/dermatology-6-names.txt

+Dermatology (Imbalanced: 6 vs rest) data set
+
+1: Description.
+
+An imbalanced version of the Dermatology data set, where the possitive examples belong to the class 6 and the negative examples to the rest of the classes.
+
+2: Type.				Imbalanced
+3: Origin.				Laboratory
+4: Instances.			358
+5: Features.			34
+6: Classes.				2
+7: Missing values.		No
+8: IR:					16,9
+
+9: Header.
+
+@relation dermatology-6
+@attribute Erythema integer [0, 3]
+@attribute Scaling integer [0, 3]
+@attribute Definite_borders integer [0, 3]
+@attribute Itching integer [0, 3]
+@attribute Koebner_phenomenon integer [0, 3]
+@attribute Polygonal_papules integer [0, 3]
+@attribute Follicular_papules integer [0, 3]
+@attribute Oral_mucosal integer [0, 3]
+@attribute Knee_and_elbow integer [0, 3]
+@attribute Scalp_involvement integer [0, 3]
+@attribute Family_history integer [0, 1]
+@attribute Melanin_incontinence integer [0, 3]
+@attribute Eosinophils integer [0, 2]
+@attribute PNL_infiltrate integer [0, 3]
+@attribute Fibrosis integer [0, 3]
+@attribute Exocytosis integer [0, 3]
+@attribute Acanthosis integer [0, 3]
+@attribute Hyperkeratosis integer [0, 3]
+@attribute Parakeratosis integer [0, 3]
+@attribute Clubbing integer [0, 3]
+@attribute Elongation integer [0, 3]
+@attribute Thinning integer [0, 3]
+@attribute Spongiform_pustule integer [0, 3]
+@attribute Munro_microabcess integer [0, 3]
+@attribute Focal_hypergranulosis integer [0, 3]
+@attribute Granular_layer integer [0, 3]
+@attribute Vacuolisation integer [0, 3]
+@attribute Spongiosis integer [0, 3]
+@attribute Saw-tooth_appearance integer [0, 3]
+@attribute Follicular_horn_plug integer [0, 3]
+@attribute Perifollicular_parakeratosis integer [0, 3]
+@attribute Inflammatory_monoluclear integer [0, 3]
+@attribute Band-like_infiltrate integer [0, 3]
+@attribute Age integer [0, 75]
+@attribute Class {positive, negative}
+@inputs Erythema, Scaling, Definite_borders, Itching, Koebner_phenomenon, Polygonal_papules, Follicular_papules, Oral_mucosal, Knee_and_elbow, Scalp_involvement, Family_history, Melanin_incontinence, Eosinophils, PNL_infiltrate, Fibrosis, Exocytosis, Acanthosis, Hyperkeratosis, Parakeratosis, Clubbing, Elongation, Thinning, Spongiform_pustule, Munro_microabcess, Focal_hypergranulosis, Granular_layer, Vacuolisation, Spongiosis, Saw-tooth_appearance, Follicular_horn_plug, Perifollicular_parakeratosis, Inflammatory_monoluclear, Band-like_infiltrate, Age
+@outputs Class

data/imbalanced_datasets/ecoli-0-1-4-6_vs_5/ecoli-0-1-4-6_vs_5-names.txt

+Ecoli (Imbalanced: 0-1-4-6 vs 5) data set
+
+1: Description.
+
+A imbalanced version of the Ecoli data set, where the possitive examples belong to classes cp, im, imU and omL and the negative examples belong to the class om.
+
+2: Type.				Imbalanced
+3: Origin.				Real world
+4: Instances.			280
+5: Features.			6
+6: Classes.				2
+7: Missing values.		No
+8: IR:					13
+
+9: Header.
+
+@relation ecoli-0-1-4-6_vs_5
+@attribute a1 real [0.0, 89.0]
+@attribute a2 real [3.0, 88.0]
+@attribute a3 real [1.0, 48.0]
+@attribute a5 real [0.0, 88.0]
+@attribute a6 real [1.0, 94.0]
+@attribute a7 real [0.0, 99.0]
+@attribute class {positive, negative}
+@inputs a1, a2, a3, a5, a6, a7
+@outputs class