1. Movie: This data set contains a list of over 10000 films including many older, odd, and cult films. There is information on actors, casts, directors, producers, studios, etc. 2. Pioneer-1 Mobile Robot Data: This dataset contains time series sensor readings of the Pioneer-1 mobile robot. The data is broken into "experiences" in which the robot takes action for some period of time and experiences a control 3. AutoUniv: AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of real data. Data can be generated in .csv, ARFF or C4.5 formats. 4. PubChem Bioassay Data: These highly imbalanced bioassay datasets are from the differing types of screening that can be performed using HTS technology. 21 datasets were created from 12 bioassays. 5. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer 6. Dodgers Loop Sensor: Loop sensor data was collected for the Glendale on ramp for the 101 North freeway in Los Angeles 7. Balance Scale: Balance scale weight & distance database 8. Balloons: Data previously used in cognitive psychology experiment; 4 data sets represent different conditions of an experiment 9. Iris: Famous database; from Fisher, 1936 10. Lenses: Database for fitting contact lenses 11. Servo: Data was from a simulation of a servo system 12. Challenger USA Space Shuttle O-Ring: Task: predict the number of O-rings that experience thermal distress on a flight at 31 degrees F given data on the previous 23 shuttle flights 13. 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 14. Connectionist Bench (Nettalk Corpus): The file "nettalk.data" contains a list of 20,008 English words, along with a phonetic transcription for each word. The task is to train a network to produce the proper phonemes 15. CalIt2 Building People Counts: This data comes from the main door of the CalIt2 building at UCI. 16. Hayes-Roth: Topic: human subjects study 17. Teaching Assistant Evaluation: The data consist of evaluations of teaching performance; scores are "low", "medium", or "high" 18. Blood Transfusion Service Center: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem. 19. Car Evaluation: Derived from simple hierarchical decision model, this database may be useful for testing constructive induction and structure discovery methods. 20. Chess (King-Rook vs. King): Chess Endgame Database for White King and Rook against Black King (KRK). 21. Shuttle Landing Control: Tiny database; all nominal values 22. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age. 23. 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.
24. 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). 25. LED Display Domain: From Classification and Regression Trees book; We provide here 2 C programs for generating sample databases 26. Liver Disorders: BUPA Medical Research Ltd. database donated by Richard S. Forsyth 27. MONK's Problems: A set of three artificial domains over the same attribute space; Used to test a wide range of induction algorithms 28. 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. 29. Yacht Hydrodynamics: Delft data set, used to predict the hydodynamic performance of sailing yachts from dimensions and velocity. 30. Abalone: Predict the age of abalone from physical measurements 31. Auto MPG: Revised from CMU StatLib library, data concerns city-cycle fuel consumption 32. Ecoli: This data contains protein localization sites 33. Nursery: Nursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. 34. Pima Indians Diabetes: From National Institute of Diabetes and Digestive and Kidney Diseases; Includes cost data (donated by Peter Turney) 35. Post-Operative Patient: Dataset of patient features 36. Yeast: Predicting the Cellular Localization Sites of Proteins 37. 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. 38. Breast Cancer: Breast Cancer Data (Restricted Access) 39. Computer Hardware: Relative CPU Performance Data, described in terms of its cycle time, memory size, etc. 40. Contraceptive Method Choice: Dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. 41. Tic-Tac-Toe Endgame: Binary classification task on possible configurations of tic-tac-toe game 42. Statlog (Shuttle): The shuttle dataset contains 9 attributes all of which are numerical. Approximately 80% of the data belongs to class 1 43. Concrete Compressive Strength: Concrete is the most important material in civil engineering. The concrete compressive strength is a highly nonlinear function of age and ingredients. 44. 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.
45. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database 46. Glass Identification: From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc) 47. Page Blocks Classification: The problem consists of classifying all the blocks of the page layout of a document that has been detected by a segmentation process. 48. Solar Flare: Each class attribute counts the number of solar flares of a certain class that occur in a 24 hour period 49. Cloud: Little Documentation 50. 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. 51. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast. 52. Poker Hand: Purpose is to predict poker hands 53. MAGIC Gamma Telescope: Data are MC generated to simulate registration of high energy gamma particles in an atmospheric Cherenkov telescope 54. Echocardiogram: Data for classifying if patients will survive for at least one year after a heart attack 55. Japanese Vowels: This dataset records 640 time series of 12 LPC cepstrum coefficients taken from nine male speakers. 56. Wine Quality: Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/). 57. Record Linkage Comparison Patterns: Element-wise comparison of records with personal data from a record linkage setting. The task is to decide from a comparison pattern whether the underlying records belong to one person. 58. Pittsburgh Bridges: Bridges database that has original and numeric-discretized datasets 59. Wine: Using chemical analysis determine the origin of wines 60. 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 61. 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). 62. Adult: Predict whether income exceeds $50K/yr based on census data. Also known as "Census Income" dataset. 63. Census Income: Predict whether income exceeds $50K/yr based on census data. Also known as "Adult" dataset. 64. Housing: Taken from StatLib library 65. 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 66. Credit Approval: This data concerns credit card applications; good mix of attributes 67. Australian Sign Language signs: This data consists of sample of Auslan (Australian Sign Language) signs. Examples of 95 signs were collected from five signers with a total of 6650 sign samples. 68. Letter Recognition: Database of character image features; try to identify the letter 69. Pen-Based Recognition of Handwritten Digits: Digit database of 250 samples from 44 writers 70. Congressional Voting Records: 1984 United Stated Congressional Voting Records; Classify as Republican or Democrat 71. Primary Tumor: From Ljubljana Oncology Institute 72. Zoo: Artificial, 7 classes of animals 73. 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. 74. Bank Marketing: The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit (variable y). 75. Lymphography: This lymphography domain was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia. (Restricted access) 76. 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. 77. Hepatitis: From G.Gong: CMU; Mostly Boolean or numeric-valued attribute types; Includes cost data (donated by Peter Turney) 78. Image Segmentation: Image data described by high-level numeric-valued attributes, 7 classes 79. Statlog (Image Segmentation): This dataset is an image segmentation database similar to a database already present in the repository (Image segmentation database) but in a slightly different form. 80. 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 81. Waveform Database Generator (Version 1): CART book's waveform domains 82. Chess (King-Rook vs. King-Knight): Knight Pin Chess End-Game Database Creator 83. 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). 84. Mushroom: From Audobon Society Field Guide; mushrooms described in terms of physical characteristics; classification: poisonous or edible 85. SPECT Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 86. Australian Sign Language signs (High Quality): This data consists of sample of Auslan (Australian Sign Language) signs. 27 examples of each of 95 Auslan signs were captured from a native signer using high-quality position trackers 87. Parkinsons: Oxford Parkinson's Disease Detection Dataset 88. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians. 89. Wall-Following Robot Navigation Data: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a clockwise direction, for 4 rounds, using 24 ultrasound sensors arranged circularly around its 'waist'. 90. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented. 91. Automobile: From 1985 Ward's Automotive Yearbook 92. Parkinsons Telemonitoring: Oxford Parkinson's Disease Telemonitoring Dataset 93. Horse Colic: Well documented attributes; 368 instances with 28 attributes (continuous, discrete, and nominal); 30% missing values 94. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented. 95. Flags: From Collins Gem Guide to Flags, 1986 96. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database 97. Trains: 2 data formats (structured, one-instance-per-line) 98. Dermatology: Aim for this dataset is to determine the type of Eryhemato-Squamous Disease. 99. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database 100. Ionosphere: Classification of radar returns from the ionosphere 101. Soybean (Large): Michalski's famous soybean disease database 102. Soybean (Small): Michalski's famous soybean disease database 103. Chess (King-Rook vs. King-Pawn): King+Rook versus King+Pawn on a7 (usually abbreviated KRKPA7). 104. Statlog (Landsat Satellite): Multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the central pixel in each neighbourhood 105. Annealing: Steel annealing data 106. Water Treatment Plant: Multiple classes predict plant state 107. Cylinder Bands: Used in decision tree induction for mitigating process delays known as "cylinder bands" in rotogravure printing 108. Waveform Database Generator (Version 2): CART book's waveform domains 109. Census-Income (KDD): This data set contains weighted census data extracted from the 1994 and 1995 current population surveys conducted by the U.S. Census Bureau. 110. Connect-4: Contains connect-4 positions 111. KDD Cup 1999 Data: This is the data set used for The Third International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-99 112. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal. 113. Sponge: Data on sponges; Attributes in spanish 114. 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. 115. MiniBooNE particle identification: This dataset is taken from the MiniBooNE experiment and is used to distinguish electron neutrinos (signal) from muon neutrinos (background). 116. PAMAP2 Physical Activity Monitoring: The PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities, performed by 9 subjects wearing 3 inertial measurement units and a heart rate monitor. 117. Covertype: Forest CoverType dataset 118. Lung Cancer: Lung cancer data; no attribute definitions 119. Spambase: Classifying Email as Spam or Non-Spam 120. 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. 121. IPUMS Census Database: This data set contains unweighted PUMS census data from the Los Angeles and Long Beach areas for the years 1970, 1980, and 1990. 122. Optical Recognition of Handwritten Digits: Two versions of this database available; see folder 123. US Census Data (1990): The USCensus1990raw data set contains a one percent sample of the Public Use Microdata Samples (PUMS) person records drawn from the full 1990 census sample. 124. Audiology (Standardized): Standardized version of the original audiology database 125. Plants: Data has been extracted from the USDA plants database. It contains all plants (species and genera) in the database and the states of USA and Canada where they occur. 126. Internet Usage Data: This data contains general demographic information on internet users in 1997. 127. Ozone Level Detection: Two ground ozone level data sets are included in this collection. One is the eight hour peak set (eighthr.data), the other is the one hour peak set (onehr.data). Those data were collected from 1998 to 2004 at the Houston, Galveston and Brazoria area. 128. Insurance Company Benchmark (COIL 2000): This data set used in the CoIL 2000 Challenge contains information on customers of an insurance company. The data consists of 86 variables and includes product usage data and socio-demographic data 129. Corel Image Features: This dataset contains image features extracted from a Corel image collection. Four sets of features are available based on the color histogram, color histogram layout, color moments, and co-occurence 130. YearPredictionMSD: Prediction of the release year of a song from audio features. Songs are mostly western, commercial tracks ranging from 1922 to 2011, with a peak in the year 2000s. 131. 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). 132. Communities and Crime: Communities within the United States. The data combines socio-economic data from the 1990 US Census, law enforcement data from the 1990 US LEMAS survey, and crime data from the 1995 FBI UCR. 133. Gas Sensor Array Drift Dataset: This archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at various levels of concentrations. 134. Communities and Crime Unnormalized: Communities in the US. Data combines socio-economic data from the '90 Census, law enforcement data from the 1990 Law Enforcement Management and Admin Stats survey, and crime data from the 1995 FBI UCR 135. Musk (Version 1): The goal is to learn to predict whether new molecules will be musks or non-musks 136. Musk (Version 2): The goal is to learn to predict whether new molecules will be musks or non-musks 137. OPPORTUNITY Activity Recognition: The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc). 138. Semeion Handwritten Digit: 1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values. 139. Arrhythmia: Distinguish between the presence and absence of cardiac arrhythmia and classify it in one of the 16 groups. 140. KDD Cup 1998 Data: This is the data set used for The Second International Knowledge Discovery and Data Mining Tools Competition, which was held in conjunction with KDD-98 141. Madelon: MADELON is an artificial dataset, which was part of the NIPS 2003 feature selection challenge. This is a two-class classification problem with continuous input variables. The difficulty is that the problem is multivariate and highly non-linear. 142. Human Activity Recognition Using Smartphones: Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors. 143. SECOM: Data from a semi-conductor manufacturing process 144. ISOLET: Goal: Predict which letter-name was spoken--a simple classification task. 145. Multiple Features: This dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps 146. CNAE-9: This is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a
subset of 9 categories 147. Internet Advertisements: This dataset represents a set of possible advertisements on Internet pages. 148. Gisette: GISETTE is a handwritten digit recognition problem. The problem is to separate the highly confusible digits '4' and '9'. This dataset is one of five datasets of the NIPS 2003 feature selection challenge.
149. p53 Mutants: The goal is to model mutant p53 transcriptional activity (active vs inactive) based on data extracted from biophysical simulations.
150. 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. 151. Reuter_50_50: The dataset is used for authorship identification in online Writeprint which is a new research field of pattern recognition. 152. Dexter: DEXTER is a text classification problem in a bag-of-word representation. This is a two-class classification problem with sparse continuous input variables. This dataset is one of five datasets of the NIPS 2003 feature selection challenge.
153. Dorothea: DOROTHEA is a drug discovery dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. This is one of 5 datasets of the NIPS 2003 feature selection challenge. 154. 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. 155. URL Reputation: Anonymized 120-day subset of the ICML-09 URL data containing 2.4 million examples and 3.2 million features. | 
