1. Abscisic Acid Signaling Network: The objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includes 300 separate boolean pseudodynamic simulations using an asynchronous update scheme.
2. Acute Inflammations: The data was created by a medical expert as a data set to test the expert system,
which will perform the presumptive diagnosis of two diseases of the urinary system.
3. Annealing: Steel annealing data
4. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge.
5. Arrhythmia: Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups.
6. Audiology (Original): Nominal audiology dataset from Baylor
7. Audiology (Standardized): Standardized version of the original audiology database
8. Auto MPG: Revised from CMU StatLib library, data concerns city-cycle fuel consumption
9. Automobile: From 1985 Ward's Automotive Yearbook
10. Bach Chorales: Time-series data based on chorales; challenge is to learn generative grammar; data in Lisp
11. Badges: Badges labeled with a "+" or "-" as a function of a person's name
12. Balance Scale: Balance scale weight & distance database
13. Blood Transfusion Service Center: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.
14. Breast Cancer: Breast Cancer Data (Restricted Access)
15. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database
16. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database
17. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database
18. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.
19. CMU Face Images: This data consists of 640 black and white face images of people taken with varying pose (straight, left, right, up), expression (neutral, happy, sad, angry), eyes (wearing sunglasses or not), and size
20. Coil 1999 Competition Data: This data set is from the 1999 Computational Intelligence and Learning (COIL) competition. The data contains measurements of river chemical concentrations and algae densities.
21. Computer Hardware: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc.
22. Concrete Slump Test: Concrete is a highly complex material. The slump flow of concrete is not only determined by the water content, but that is also influenced by other concrete ingredients.
23. Congressional Voting Records: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat
24. Connectionist Bench (Sonar, Mines vs. Rocks): The task is to train a network to discriminate between sonar signals bounced off a metal cylinder and those bounced off a roughly cylindrical rock.
25. Connectionist Bench (Vowel Recognition - Deterding Data): Speaker independent recognition of the eleven steady state vowels of British English using a specified training set of lpc derived log area ratios.
26. Credit Approval: This data concerns credit card applications; good mix of attributes
27. Cylinder Bands: Used in decision tree induction for mitigating process delays known as "cylinder bands" in rotogravure printing
28. Daphnet Freezing of Gait: This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson's disease patients that experience freezing of gait (FoG) during walking tasks.
29. Demospongiae: Marine sponges of the Demospongiae class classification domain.
30. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease.
31. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack
32. Ecoli: This data contains protein localization sites
33. EEG Database: This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed on the scalp sampled at 256 Hz
34. Energy efficiency: This study looked into assessing the heating load and cooling load requirements of buildings (that is, energy efficiency) as a function of building parameters.
35. Fertility: 100 volunteers provide a semen sample analyzed according to the WHO 2010 criteria. Sperm concentration are related to socio-demographic data, environmental factors, health status, and life habits
36. Flags: From Collins Gem Guide to Flags, 1986
37. Forest Fires: This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data (see details at: http://www.dsi.uminho.pt/~pcortez/forestfires).
38. Function Finding: Cases collected mostly from investigations in physical science; intention is to evaluate function-finding algorithms
39. Glass Identification: From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc)
40. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer
41. Hayes-Roth: Topic: human subjects study
42. Heart Disease: 4 databases: Cleveland, Hungary, Switzerland, and the VA Long Beach
43. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney)
44. Hill-Valley: Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a “bump” in the terrain) or a Valley (a “dip” in the terrain).
45. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values
46. Housing: Taken from StatLib library
47. ILPD (Indian Liver Patient Dataset): This data set contains 10 variables that are age, gender, total Bilirubin, direct Bilirubin, total proteins, albumin, A/G ratio, SGPT, SGOT and Alkphos.
48. Ionosphere: Classification of radar returns from the ionosphere
49. Iris: Famous database; from Fisher, 1936
50. Japanese Credit Screening: Includes domain theory (generated by talking to Japanese domain experts); data in Lisp
51. Japanese Vowels: This dataset records 640 time series of 12 LPC cepstrum coefficients taken from nine male speakers.
52. Kinship: Relational dataset
53. Libras Movement: The data set contains 15 classes of 24 instances each. Each class references to a hand movement type in LIBRAS (Portuguese
name 'LÍngua BRAsileira de Sinais', oficial brazilian signal language).
54. Liver Disorders: BUPA Medical Research Ltd. database donated by Richard S. Forsyth
55. Low Resolution Spectrometer: From IRAS data -- NASA Ames Research Center
56. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access)
57. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age.
58. Mechanical Analysis: Fault diagnosis problem of electromechanical devices; also PUMPS DATA SET is newer version with domain theory and results
59. Meta-data: Meta-Data was used in order to give advice about which classification method is appropriate for a particular dataset (taken from results of Statlog project).
60. Molecular Biology (Promoter Gene Sequences): E. Coli promoter gene sequences (DNA) with partial domain theory
61. Molecular Biology (Protein Secondary Structure): From CMU connectionist bench repository; Classifies secondary structure of certain globular proteins
62. MONK's Problems: A set of three artificial domains over the same attribute space; Used to test a wide range of induction algorithms
63. Moral Reasoner: Horn-clause model that qualitatively simulates moral reasoning; Theory includes negated literals
64. Musk (Version 1): The goal is to learn to predict whether new molecules will be musks or non-musks
65. Northix: Northix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases.
66. Parkinsons: Oxford Parkinson's Disease Detection Dataset
67. PEMS-SF: 15 months worth of daily data (440 daily records) that describes the occupancy rate, between 0 and 1, of different car lanes of the San Francisco bay area freeways across time.
68. Pima Indians Diabetes: From National Institute of Diabetes and Digestive and Kidney Diseases; Includes cost data (donated by Peter Turney)
69. Pittsburgh Bridges: Bridges database that has original and numeric-discretized datasets
70. Planning Relax: The dataset concerns with the classification of two mental stages from recorded EEG signals: Planning (during imagination of motor act) and Relax state.
71. Primary Tumor: From Ljubljana Oncology Institute
72. Restaurant & consumer data: The dataset was obtained from a recommender system prototype. The task was to generate a top-n list of restaurants according to the consumer preferences.
73. Reuters Transcribed Subset: This dataset is created by reading out 200 files from the 10 largest Reuters
classes and using an Automatic Speech Recognition system to create
74. Robot Execution Failures: This dataset contains force and torque measurements on a robot after failure detection. Each failure is characterized by 15 force/torque samples collected at regular time intervals
75. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes.
76. Servo: Data was from a simulation of a servo system
77. Soybean (Large): Michalski's famous soybean disease database
78. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
79. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.
80. Statlog (Australian Credit Approval): This file concerns credit card applications. This database exists elsewhere in the repository (Credit Screening Database) in a slightly different form
81. Statlog (German Credit Data): This dataset classifies people described by a set of attributes as good or bad credit risks. Comes in two formats (one all numeric). Also comes with a cost matrix
82. Statlog (Heart): This dataset is a heart disease database similar to a database already present in the repository (Heart Disease databases) but in a slightly different form
83. Statlog (Vehicle Silhouettes): 3D objects within a 2D image by application of an ensemble of shape feature extractors to the 2D silhouettes of the objects.
84. Student Loan Relational: Student Loan Relational Domain
85. Synthetic Control Chart Time Series: This data consists of synthetically generated control charts.
86. Syskill and Webert Web Page Ratings: This database contains HTML source of web pages plus the ratings of a single user on these web pages. Web pages are on four seperate subjects (Bands- recording artists; Goats; Sheep; and BioMedical)
87. Teaching Assistant Evaluation: The data consist of evaluations of teaching performance; scores are "low", "medium", or "high"
88. Tic-Tac-Toe Endgame: Binary classification task on possible configurations of tic-tac-toe game
89. University: Data in original (LISP-readable) form
90. Vertebral Column: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or spondilolysthesis) or 2 classes (normal or abnormal).
91. Water Treatment Plant: Multiple classes predict plant state
92. Wine: Using chemical analysis determine the origin of wines
93. Yacht Hydrodynamics: Delft data set, used to predict the hydodynamic performance of sailing yachts from dimensions and velocity.
94. Zoo: Artificial, 7 classes of animals