LIBSVM Data: Classification (Binary Class)

This page contains many classification, regression, and multi-label data sets used in our papers. Many are from UCI, Statlog, StatLib and other collections. We really thank their efforts. For most sets, we directly transform the file into LIBSVM format and linearly scale each attribute to [-1,1]. The testing data (if provided) is adjusted accordingly. Some training data are further separated to "training" (tr) and "validation" (val) sets. Details can be found in the description of each data set.

a1a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 1,605 / 30,956 (testing)
# of features: 123 / 123 (testing)
Files:
- a1a
- a1a.t (testing)

a2a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 2,265 / 30,296 (testing)
# of features: 123 / 123 (testing)
Files:
- a2a
- a2a.t (testing)

a3a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 3,185 / 29,376 (testing)
# of features: 123 / 123 (testing)
Files:
- a3a
- a3a.t (testing)

a4a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 4,781 / 27,780 (testing)
# of features: 123 / 123 (testing)
Files:
- a4a
- a4a.t (testing)

a5a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 6,414 / 26,147 (testing)
# of features: 123 / 123 (testing)
Files:
- a5a
- a5a.t (testing)

a6a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 11,220 / 21,341 (testing)
# of features: 123 / 123 (testing)
Files:
- a6a
- a6a.t (testing)

a7a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 16,100 / 16,461 (testing)
# of features: 123 / 123 (testing)
Files:
- a7a
- a7a.t (testing)

a8a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 22,696 / 9,865 (testing)
# of features: 123 / 123 (testing)
Files:
- a8a
- a8a.t (testing)

a9a

Source: UCI / Adult
Preprocessing: [JP98a]
# of classes: 2
# of data: 32,561 / 16,281 (testing)
# of features: 123 / 123 (testing)
Files:
- a9a
- a9a.t (testing)

australian

Source: Statlog / Australian
# of classes: 2
# of data: 690
# of features: 14
Files:
- australian
- australian_scale (scaled to [-1,1])

breast-cancer

Source: UCI / Wisconsin Breast Cancer
Preprocessing: Note that the original data has the column 1 containing sample ID. Also 16 instances with missing values are removed.
# of classes: 2
# of data: 683
# of features: 10
Files:
- breast-cancer
- breast-cancer_scale (scaled to [-1,1])

colon-cancer

Source: [AU99a]
Preprocessing: Instance-wise normalization to mean zero and variance one. Then feature-wise normalization to mean zero and variance one. [SKS03a]
# of classes: 2
# of data: 62
# of features: 2,000
Files:
- colon-cancer.bz2

covtype.binary

Source: UCI / Covertype
Preprocessing: Transform from multiclass into binary class. [RC02a]
# of classes: 2
# of data: 581,012
# of features: 54
Files:
- covtype.libsvm.binary.bz2
- covtype.libsvm.binary.scale.bz2 (scaled to [0,1])

diabetes

Source: UCI / Pima Indians Diabetes
# of classes: 2
# of data: 768
# of features: 8
Files:
- diabetes
- diabetes_scale (scaled to [-1,1])

duke breast-cancer

Source: [MW01a]
Preprocessing: Instance-wise normalization to mean zero and variance one. Then feature-wise normalization to mean zero and variance one. The original dataset consists of 49 instances. Five are removed since the classification results using immunohistochemistry and protein immunoblotting assay confilcted. Of the remaining, two instances were rejected due to failed array hybridization. The rest data are further splited into training (38), and validation (4). [SKS03a]
# of classes: 2
# of data: 44
# of features: 7,129
Files:
- duke.bz2
- duke.tr.bz2 (tr)
- duke.val.bz2 (val)

fourclass

Source: [TKH96a]
Preprocessing: transform to two-class
# of classes: 2
# of data: 862
# of features: 2
Files:
- fourclass
- fourclass_scale (scaled to [-1,1])

german.numer

Source: Statlog / German
# of classes: 2
# of data: 1,000
# of features: 24
Files:
- german.numer
- german.numer_scale (scaled to [-1,1])

heart

Source: Statlog / Heart
# of classes: 2
# of data: 270
# of features: 13
Files:
- heart
- heart_scale (scaled to [-1,1])

ijcnn1

Source: [DP01a]
Preprocessing: We use winner's transformation [Chang01d]
# of classes: 2
# of data: 49,990 / 91,701 (testing)
# of features: 22
Files:
- ijcnn1.bz2
- ijcnn1.t.bz2 (testing)
- ijcnn1.tr.bz2 (tr)
- ijcnn1.val.bz2 (val)

ionosphere

Source: UCI / Ionosphere
# of classes: 2
# of data: 351
# of features: 34
Files:
- ionosphere_scale (scaled to [-1,1])

leukemia

Source: [TG99a]
Preprocessing: Merge training/testing. Instance-wise normalization to mean zero and variance one. Then feature-wise normalization to mean zero and variance one. [SKS03a]
# of classes: 2
# of data: 38 / 34 (testing)
# of features: 7129
Files:
- leu.bz2
- leu.t.bz2 (testing)

liver-disorders

Source: UCI / Liver-disorders
# of classes: 2
# of data: 345
# of features: 6
Files:
- liver-disorders
- liver-disorders_scale (scaled to [-1,1])

mushrooms

Source: UCI / mushrooms
Preprocessing: Each nominal attribute is expaned into several binary attributes. The original attribute #12 has missing values and is not used.
# of classes: 2
# of data: 8124
# of features: 112
Files:
- mushrooms

news20.binary

Source: [SSK05a]
Preprocessing: Each instance has unit length.
# of classes: 2
# of data: 19,996
# of features: 1,355,191
Files:
- news20.binary.bz2

rcv1.binary

Source: [DL04b]
Preprocessing: positive: CCAT, ECAT; negative: GCAT, MCAT; instances in both positive and negative classes are removed.
# of classes: 2
# of data: 20,242 / 677,399 (testing)
# of features: 47,236
Files:
- rcv1_train.binary.bz2
- rcv1_test.binary.bz2 (testing)

real-sim

Source: A. McCallum / Real vs. Simulated
Preprocessing: Vikas Sindhwani for the SVMlin project
# of classes: 2
# of data: 72,309
# of features: 20,958
Files:
- real-sim.bz2

splice

Source: Delve / splice
# of classes: 2
# of data: 1,000 / 2,175 (testing)
# of features: 60
Files:
- splice
- splice_scale (scaled to [-1,1])
- splice.t (testing)

sonar

Source: UCI / Undocumented/Sonar
# of classes: 2
# of data: 208
# of features: 60
Files:
- sonar_scale (scaled to [-1,1])

svmguide1

Source: [CWH03a]
Preprocessing: Original data: an astroparticle application from Jan Conrad of Uppsala University, Sweden.
# of classes: 2
# of data: 3,089 / 4,000 (testing)
# of features: 4
Files:
- svmguide1
- svmguide1.t (testing)

svmguide3

Source: [CWH03a]
Preprocessing: Original data: someone from Germany working with the car industry.
# of classes: 2
# of data: 1,243 / 41 (testing)
# of features: 21
Files:
- svmguide3
- svmguide3.t (testing)

w1a

Source: [JP98a]
# of classes: 2
# of data: 2,477 / 47,272 (testing)
# of features: 300 / 300 (testing)
Files:
- w1a
- w1a.t (testing)

w2a

Source: [JP98a]
# of classes: 2
# of data: 3,470 / 46,279 (testing)
# of features: 300 / 300 (testing)
Files:
- w2a
- w2a.t (testing)

w3a

Source: [JP98a]
# of classes: 2
# of data: 4,912 / 44,837 (testing)
# of features: 300 / 300 (testing)
Files:
- w3a
- w3a.t (testing)

w4a

Source: [JP98a]
# of classes: 2
# of data: 7,366 / 42,383 (testing)
# of features: 300 / 300 (testing)
Files:
- w4a
- w4a.t (testing)

w5a

Source: [JP98a]
# of classes: 2
# of data: 9,888 / 39,861 (testing)
# of features: 300 / 300 (testing)
Files:
- w5a
- w5a.t (testing)

w6a

Source: [JP98a]
# of classes: 2
# of data: 17,188 / 32,561 (testing)
# of features: 300 / 300 (testing)
Files:
- w6a
- w6a.t (testing)

w7a

Source: [JP98a]
# of classes: 2
# of data: 24,692 / 25,057 (testing)
# of features: 300 / 300 (testing)
Files:
- w7a
- w7a.t (testing)

w8a

Source: [JP98a]
# of classes: 2
# of data: 49,749 / 14,951 (testing)
# of features: 300 / 300 (testing)
Files:
- w8a
- w8a.t (testing)