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KEEL Imbalanced Datasets

KEEL Imbalanced Datasets

Created 20-11-2018 by Andriy Mulyar Visibility: public
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A imbalanced version of the Abalone data set. where the possitive examples belong to class 19 and the negative examples belong to the rest. (IR: 128.87)
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4174 instances - 9 features - 2 classes - 0 missing values
An imbalanced version of the Poker Hand data set. where the possitive examples belong to the class 8 and the negative examples belong to the class 6. (IR: 85.88)
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1477 instances - 11 features - 2 classes - 0 missing values
. (IR: 82.0)
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2075 instances - 11 features - 2 classes - 0 missing values
. (IR: 72.69)
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1916 instances - 9 features - 2 classes - 0 missing values
An imbalanced version of the Red Wine Quality data set. where the possitive examples belong to the class 3 and the negative examples belong to the class 5. (IR: 68.1)
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691 instances - 12 features - 2 classes - 0 missing values
. (IR: 58.4)
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1485 instances - 11 features - 2 classes - 0 missing values
. (IR: 58.28)
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1482 instances - 12 features - 2 classes - 0 missing values
. (IR: 49.69)
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1622 instances - 9 features - 2 classes - 0 missing values
. (IR: 46.5)
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855 instances - 12 features - 2 classes - 0 missing values
An imbalanced version of the White Wine Quality data set. where the possitive examples belong to the class 3 and the negative examples belong to the class 7. (IR: 44.0)
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900 instances - 12 features - 2 classes - 0 missing values
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. (IR: 40.5)
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581 instances - 9 features - 2 classes - 0 missing values
. (IR: 39.31)
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2338 instances - 9 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to classes pp and imL and the negative examples belong to classes cp. im. imU and imS. (IR: 39.15)
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281 instances - 8 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class EXC and the negative examples belong to the rest. (IR: 39.15)
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1484 instances - 9 features - 2 classes - 0 missing values
An imbalanced version of the Red Wine Quality data set. where the possitive examples belong to the class 8 and the negative examples belong to the class 6. (IR: 35.44)
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656 instances - 12 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class ME1 and the negative examples belong to the rest. (IR: 32.78)
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1484 instances - 9 features - 2 classes - 0 missing values
An imbalanced version of the White Wine Quality data set. where the possitive examples belong to the class 9 and the negative examples belong to the class 4. (IR: 32.6)
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168 instances - 12 features - 2 classes - 0 missing values
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. (IR: 32.47)
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502 instances - 9 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class VAC and the negative examples belong to classes NUC. CYT. POX. ERL. (IR: 30.56)
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947 instances - 9 features - 2 classes - 0 missing values
An imbalanced version of the Poker Hand data set. where the possitive examples belong to the class 9 and the negative examples belong to the class 7. (IR: 29.5)
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244 instances - 11 features - 2 classes - 0 missing values
An imbalanced version of the Red Wine Quality data set. where the possitive examples belong to the class 4 and the negative examples belong to the rest of classes. (IR: 29.17)
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1599 instances - 12 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class ME2 and the negative examples belong to the rest. (IR: 28.41)
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1484 instances - 9 features - 2 classes - 0 missing values
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. (IR: 25.58)
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1728 instances - 7 features - 2 classes - 0 missing values
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. (IR: 24.04)
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1728 instances - 7 features - 2 classes - 0 missing values
An imbalanced version of the Solar Flare data set. where the possitive examples belong to the class F and the negative examples to the rest of the classes. (IR: 23.79)
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1066 instances - 12 features - 2 classes - 0 missing values
. (IR: 23.67)
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148 instances - 19 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class CYT and the negative examples belong to classes ME2. (IR: 23.1)
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482 instances - 9 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to class 5 and the negative examples belong to the rest. (IR: 22.81)
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214 instances - 10 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class VAC and the negative examples belong to classes NUC. ME2. ME3 and POX. (IR: 22.1)
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693 instances - 9 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to class 5 and the negative examples belong to classes 0. 1 and 6. (IR: 19.44)
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184 instances - 10 features - 2 classes - 0 missing values
An imbalanced version of the Zoo data set. where the possitive examples belong to the class 3 and the negative examples belong to the rest of the classes. (IR: 19.2)
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101 instances - 17 features - 2 classes - 0 missing values
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. (IR: 16.9)
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358 instances - 35 features - 2 classes - 0 missing values
A imbalanced version of the Abalone data set. where the possitive examples belong to class 18 and the negative examples belong to class 9. (IR: 16.68)
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731 instances - 9 features - 2 classes - 0 missing values
A imbalanced version of the Page Blocks data set. where the possitive examples belong to class graphic and the negative examples belong to classes horiz.line and picture. (IR: 15.85)
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472 instances - 11 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to class 4 and the negative examples belong to the rest. (IR: 15.47)
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214 instances - 10 features - 2 classes - 0 missing values
A imbalanced version of the Yeast data set. where the possitive examples belong to class VAC and the negative examples belong to classes NUC. Moreover. Pox attribute has been removed in this data set.…
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459 instances - 8 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to class om and the negative examples belong to the rest. (IR: 13.84)
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336 instances - 8 features - 2 classes - 0 missing values
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. (IR: 13.0)
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280 instances - 7 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to classes cp. im. imU and pp and the negative examples belong to the classes om and omL. (IR: 12.28)
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332 instances - 7 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to classes 1. 2. 5 and 7 and the negative examples belong to the class 3. (IR: 11.06)
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205 instances - 10 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to classes 1 and 7 and the negative examples belong to the class 6. (IR: 11.0)
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108 instances - 10 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to classes cp and im and the negative examples belong to the class om. (IR: 11.0)
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240 instances - 7 features - 2 classes - 0 missing values
A imbalanced version of the LED Display Domain data set. where the possitive examples belong to classes 0. 2. 4. 5. 6. 7. 8 and 9 and the negative examples belong to the class 1. (IR: 10.97)
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443 instances - 8 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to classes cp. im. imU and pp and the negative examples belong to the classes imS.imL.om and omL. (IR: 10.59)
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336 instances - 8 features - 2 classes - 0 missing values
A imbalanced version of the Glass data set. where the possitive examples belong to class 2 and the negative examples belong to classes 0. 1 and 6. (IR: 10.29)
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192 instances - 10 features - 2 classes - 0 missing values
A imbalanced version of the Vowel data set. where the possitive examples belong to class 0 and the negative examples belong to the rest. Also 2 duplicated instances were removed in this version. (IR:…
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988 instances - 14 features - 2 classes - 0 missing values
A imbalanced version of the Ecoli data set. where the possitive examples belong to classes cp. omL and pp and the negative examples belong to the class om. (IR: 10.0)
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220 instances - 7 features - 2 classes - 0 missing values