Indoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art Indo…
classification, clustering, multivariate, regression, sequential, time-seriesThis is a sparse data set, less than 10% of the attributes are used for each sample. The link is to a '*.tgz' file which contains two files: [amzn-anon-ac…
causal-discovery, clustering, domain-theory, regression, time-seriesThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repres…
classification, clustering, multivariate, sequential, time-seriesIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technologie…
classification, clustering, multivariate, regression, sequential, time-seriesOpen University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) fo…
classification, clustering, multivariate, regression, sequential, time-seriesThis is a transnational data set which contains all the transactions occurring between 01/12/2010 and 09/12/2011 for a UK-based and registered non-store o…
classification, clustering, multivariate, sequential, time-seriesThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two instanc…
classification, clustering, multivariate, sequential, time-seriesThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carried…
classification, clustering, multivariate, regression, sequential, time-seriesOngoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the re…
causal-discovery, clustering, multivariate, regression52 columns for 52 weeks; normalised values of provided too.
clustering, multivariate, time-seriesDocuments are first obtained via a Web search using AMIEI: an integrated platform for delivering enterprise intelligence, developed by AMI Software ([Web …
clustering, multivariate, sequential, textPlease find the original data at '[Web Link]'
classification, clustering, multivariate, time-series--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Accelerom…
classification, clustering, sequential, time-series, univariateThe dataset (movement_libras) contains 15 classes of 24 instances each, where each class references to a hand movement type in LIBRAS. In the video pre-p…
classification, clustering, multivariate, sequentialThis corpus has been collected from free or free for research sources at the Internet: -> A collection of 425 SMS spam messages was manually extracted fr…
classification, clustering, domain-theory, multivariate, textThe Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor het…
classification, clustering, multivariate, time-seriesThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measuremen…
classification, multivariate, sequential, time-seriesThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creation…
classification, clustering, multivariate, time-seriesOur dataset is used by us to explore spammers in microblog and you can access our demo system at [Web Link]Please add :8080 after the domain name as port.…
causal-discovery, classification, multivariate, sequential, text, univariateAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detec…
classification, multivariate, sequential, time-seriesFor a list of attributes, please refer to those two .names files. They use the following naming convention: All the attribute start with T means the tem…
classification, multivariate, sequential, time-seriesThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the d…
multivariate, regression, sequential, text, time-series* Audio track (encoded as mp3) of each of the 106,574 tracks. It is on average 10 millions samples per track.* Nine audio features (consisting of 518 attr…
classification, clustering, multivariate, time-seriesThis archive contains 2075259 measurements gathered between December 2006 and November 2010 (47 months). Notes: 1.(global_active_power*1000/60 - sub_mete…
clustering, multivariate, regression, time-seriesThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in the …
classification, clustering, sequential, time-series, univariateBackground information: The data set concerns the earliest history of mankind. Prehistoric men created the desired shape of a stone tool by striking on a …
causal-discovery, classification, clustering, multivariateThe dataset is the subset of RCV1. These corpus has already been used in author identification experiments. In the top 50 authors (with respect to total s…
classification, clustering, domain-theory, multivariate, textBrief Description of the Dataset: --------------------------------- Each of the 19 activities is performed by eight subjects (4 female, 4 male, between th…
classification, clustering, multivariate, time-seriesThe automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special import…
classification, clustering, multivariate, sequentialThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task con…
classification, multivariate, sequential, time-seriesThis data set contains 13,910 measurements from 16 chemical sensors exposed to 6 gases at different concentration levels. This dataset is an extension of …
causa, classification, clustering, multivariate, regression, time-seriesThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist in…
classification, multivariate, sequential, time-seriesThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics for…
classification, domain-theory, multivariate, regression, time-seriesThe experiments have been carried out with a group of 30 volunteers within an age bracket of 19-48 years. Each person performed six activities (WALKING, W…
classification, clustering, multivariate, time-seriesThe OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recogni…
classification, multivariate, time-series2. Information database: 2.1. Protocol: 22 male subjects , 11 with different knee abnormalities previously diagnosed by a professional. They undergo thre…
multivariate, time-seriesThe data set is at 10 min for about 4.5 months. The house temperature and humidity conditions were monitored with a ZigBee wireless sensor network. Each w…
multivariate, regression, time-seriesA dataset of online handwritten assamese characters by collecting samples from 45 writers is created. Each writer contributed 52 basic characters, 10 nume…
classification, multivariate, sequentialThe data was collected as part of the 1990 census. There are 68 categorical attributes. This data set was derived from the USCensus1990raw data set. The…
clustering, multivariateThe characters here were used for a PhD study on primitive extraction using HMM based models. The data consists of 2858 character samples, contained in th…
classification, clustering, time-seriesThe datas time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as NA.
multivariate, regression, time-seriesThe Daphnet Freezing of Gait Dataset is a dataset devised to benchmark automatic methods to recognize gait freeze from wearable acceleration sensors plac…
classification, multivariate, time-seriesA chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The ac…
classification, multivariate, regression, time-seriesData is collected from imkb.gov.tr and finance.yahoo.com. Data is organized with regard to working days in Istanbul Stock Exchange.
classification, multivariate, regression, time-series, univariateSamples (instances) are stored row-wise. Variables (attributes) of each sample are RNA-Seq gene expression levels measured by illumina HiSeq platform.
classification, clustering, multivariateThis loop sensor data was collected for the Glendale on ramp for the 101 North freeway in Los Angeles. It is close enough to the stadium to see unusual t…
multivariate, time-seriesThis data set contains time series of greenhouse gas (GHG) concentrations at 2921 grid cells in California created using simulations of the Weather Resear…
multivariate, regression, time-seriesThe data were collected over a series of specifically designed trials. Our hope was to cover most of the types of sensory interactions that a Pioneer migh…
multivariate, time-seriesNumber of instances: 18000 times-series measurements recorded from a 72 metal-oxide gas sensor array-based chemical detection platform. Number of attribu…
classification, multivariate, time-seriesWe have downloaded 15 months worth of daily data from the California Department of Transportation PEMS website, [Web Link], The data describes the occupan…
classification, multivariate, time-series# From Garavan Institute # Documentation: as given by Ross Quinlan # 6 databases from the Garavan Institute in Sydney, Australia # Approximately the follo…
classification, domain-theory, multivariateA description of the underlying Cargo 2000 standard and the processes reflected in the data set can be found at [Web Link].
classification, multivariate, regression, sequentialThe donation includes 5 datasets, each of them defining a different learning problem: * LP1: failures in approach to grasp position * LP2: failur…
classification, multivariate, time-seriesThis dataset was used in several classifications tasks related to the challenge of anuran species recognition through their calls. It is a multilabel data…
classification, clustering, multivariateA complex modern semi-conductor manufacturing process is normally under consistent surveillance via the monitoring of signals/variables collected from sen…
causal-discovery, classification, multivariateIn SIFT10M, the titles of the png files indicate the columns position of the SIFT features. This data set has been used for evaluating the approximate nea…
causal-discovery, multivariate-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic…
classification, clustering, multivariateWe created this data by sampling and processing the www.kelkoo.com logs. The data records offers which were clicked (or shown) to the users of the www.kel…
causal-discovery, multivariateThe objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includ…
causal-discovery, multivariateThe data is in the transactional form. It contains the Latin names (species or genus) and state abbreviations.
clustering, multivariateThe examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for the…
classification, clustering, multivariateA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patter…
classification, clustering, multivariateKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. In …
classification, clustering, multivariate, regression, text, univariateThe PAMAP2 Physical Activity Monitoring dataset contains data of 18 different physical activities (such as walking, cycling, playing soccer, etc.), perfor…
classification, multivariate, time-seriesProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in highe…
classification, domain-theory, sequentialThis data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed …
multivariate, time-seriesThe REALDISP (REAListic sensor DISPlacement) dataset has been originally collected to investigate the effects of sensor displacement in the activity recog…
classification, multivariate, time-seriesThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge. …
classification, domain-theory, sequentialThree data sets are submitted, for training and testing. Ground-truth occupancy was obtained from time stamped pictures that were taken every minute. For …
classification, multivariate, time-seriesPlease see the README for the details on the data organization, and so on.
classification, clustering, multivariate, textThe time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.
multivariate, regression, time-seriesThe dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Multi…
multivariate, regression, time-seriesThis dataset comes from the daily measures of sensors in a urban waste water treatment plant. The objective is to classify the operational state of the pl…
clustering, multivariateThis data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels. In particular, we genera…
classification, multivariate, regression, time-seriesCSV format where each row is a paper and each column is an attribute.
clustering, multivariateA Vicon motion capture camera system was used to record 12 users performing 5 hand postures with markers attached to a left-handed glove. A rigid patter…
classification, clustering, multivariateThe MHEALTH (Mobile HEALTH) dataset comprises body motion and vital signs recordings for ten volunteers of diverse profile while performing several physic…
classification, multivariate, time-seriesData set has no missing values. Values are in kW of each 15 min. To convert values in kWh values must be divided by 4. Each column represent one client. S…
clustering, regression, time-seriesThese are atlantic-mediterranean marine sponges that belong to O.Hadromerida (Demospongiae.Porifera).
clustering, multivariateDataset from 8800(10 digits x 10 repetitions x 88 speakers) time series of 13 Frequency Cepstral Coefficients (MFCCs) had taken from 44 males and 44 femal…
classification, multivariate, time-seriesData was captured using a setup that consisted of: - Two Fifth Dimension Technologies (5DT) gloves, one right and one left - Two Ascension Flock-of-Bir…
classification, multivariate, time-seriesKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. In …
classification, clustering, multivariate, regression, text, univariateUncompressing the archive url_svmlight.tar.gz will yield a directory url_svmlight/ containing the following files: * FeatureTypes --- A text file list…
classification, multivariate, time-seriesThe dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representi…
classification, clustering, multivariateThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different cla…
classification, clustering, time-seriesThe source of the data is the raw measurements from a Nintendo PowerGlove. It was interfaced through a PowerGlove Serial Interface to a Silicon Graphics 4…
classification, multivariate, time-seriesWe create a character database by collecting samples from 11 writers. Each writer contributed with letters (lower and uppercase), digits, and other chara…
classification, multivariate, sequentialThe provided files comprise three different data sets. The first one contains the raw values of the measurements of all 24 ultrasound sensors and the cor…
classification, multivariate, sequentialdataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identifi…
classification, domain-theory, multivariate, textThe PD and control handwriting database consists of 62 PWP (People with parkinson) and 15 healthy individuals who appealed at the Department of Neurology …
classification, clustering, multivariate, regressionIn predicting stock prices you collect data over some period of time - day, week, month, etc. But you cannot take advantage of data from a time period unt…
classification, clustering, time-seriesDiabetes patient records were obtained from two sources: an automatic electronic recording device and paper records. The automatic device had an interna…
multivariate, time-seriesThis is the first smartphone based lifelogging dataset that is going to be available for public use. Please consider that the user of this dataset are obl…
causal-discovery, multivariateThe data was collected for examining our newly developed classifier for multidimensional curves (multidimensional time series). Nine male speakers uttered…
classification, multivariate, time-seriesNews are grouped into clusters that represent pages discussing the same news story. The dataset includes also references to web pages that, at the access…
classification, clustering, multivariateThe data set gathered when we were working at project for Bahrain university between 2002 and 2003.
classification, clustering, domain-theory, univariateAutomatic identification of commercial blocks in news videos finds a lot of applications in the domain of television broadcast analysis and monitoring. Co…
classification, clustering, multivariateCollect the real time readings for residential,commercial,industrial,agriculure,to find the accuracy consumption in Tamil Nadu Around Thanajvur
classification, clustering, multivariate, regressionThe experiments were carried out with a group of 30 volunteers within an age bracket of 19-48 years. They performed a protocol of activities composed of s…
classification, multivariate, time-seriesPeople used for recording of the data were wearing four tags (ankle left, ankle right, belt and chest). Each instance is a localization data for one of t…
classification, sequential, time-series, univariateThe DrivFace database contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640480 pixels each, acquired…
classification, clustering, multivariate, regressionExamples represent positive and negative instances of people who were and were not granted credit. The theory was generated by talking to the individual…
classification, domain-theory, multivariate1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #109,…
classification, sequential, time-seriesThis dataset was constructed by adding elevation information to a 2D road network in North Jutland, Denmark (covering a region of 185 x 135 km^2). Elevati…
clustering, regression, sequential, textHTRU2 is a data set which describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey (South) [1]. Pulsars are a r…
classification, clustering, multivariateThe data can be used to try to predict student learning in SE teamwork based on observation of their team activity **** README FILE from the submitted d…
classification, sequential, time-seriesWe have created the UJIpenchars2 character database by collecting samples from 60 writers at two different sites in two phases: 1st phase, 11 writers, car…
classification, multivariate, sequential- The leaves were placed on a white background and then photographed. - The pictures were taken in broad daylight to ensure optimum light intensity.
classification, clustering, multivariateCSV format where each row is a paper and each column an attribute.
clustering, multivariateThe measured data was collected using a chemical sensing system based on an array of 16 metal-oxide gas sensors and an external mechanical ventilator to s…
classification, multivariate, regression, time-seriesThis dataset has recordings of a gas sensor array composed of 8 MOX gas sensors, and a temperature and humidity sensor. This sensor array was exposed to b…
classification, multivariate, time-seriesObservations come from 2 data streams (people flow in and out of the building), over 15 weeks, 48 time slices per day (half hour count aggregates). The…
multivariate, time-seriesProvide all relevant information about your data set.
classification, clustering, multivariateThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measuremen…
causal-discovery, classification, clustering, textThe data set consists of the expression levels of 77 proteins/protein modifications that produced detectable signals in the nuclear fraction of cortex. Th…
classification, clustering, multivariateFeatures are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. They describe characteristics of the cell nuclei present i…
classification, multivariateThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the da…
classification, multivariateThis database contains 34 attributes, 33 of which are linear valued and one of them is nominal. The differential diagnosis of erythemato-squamous diseas…
classification, multivariateThis dataset is composed of a range of biomedical voice measurements from 42 people with early-stage Parkinson's disease recruited to a six-month trial of…
multivariate, regressionThe dataset is in the form of a 11463 x 5812 matrix of word counts, containing 11463 words and 5811 NIPS conference papers (the first column contains the …
clustering, textThis dataset contains the features extracted from a database of colonoscopic videos showing gastrointestinal lesions. It also contains the ground truth co…
classification, multivariateFor each text collection, D is the number of documents, W is the number of words in the vocabulary, and N is the total number of words in the collection (…
clustering, textThe classification task of this database is to determine where patients in a postoperative recovery area should be sent to next. Because hypothermia is a…
classification, multivariateWe create a digit database by collecting 250 samples from 44 writers. The samples written by 30 writers are used for training, cross-validation and writer…
classification, multivariateThe records represent individual data including first and family name, sex, date of birth and postal code, which were collected through iterative insertio…
classification, multivariateAIMS AND PURPOSES This corpus is intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised learni…
classification, multivariate, regressionAn Inductive Logic Programming (ILP) or relational learning framework is assumed (Muggleton, 1992). The learning system is provided with examples of chess…
classification, multivariate1593 handwritten digits from around 80 persons were scanned, stretched in a rectangular box 16x16 in a gray scale of 256 values.Then each pixel of each im…
classification, multivariateIMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tests…
classification, sequentialThis data set is generated from the original T40I10D100K data set, to mine fuzzy sequential patterns over quantitative streams. While the original T40I10D…
sequentialYou should respect the following train / test split: train: first 463,715 examples test: last 51,630 examples It avoids the 'producer effect' by making su…
multivariate, regressionThis dataset consists of features of handwritten numerals (`0'--`9') extracted from a collection of Dutch utility maps. 200 patterns per class (for a tota…
classification, multivariateThere are 19 classes, only the first 15 of which have been used in prior work. The folklore seems to be that the last four classes are unjustified by the …
classification, multivariateThis data comes from a survey conducted by the Graphics and Visualization Unit at Georgia Tech October 10 to November 16, 1997. The full details of the su…
multivariateThis data set contains weighted census data extracted from the 1994 and 1995 Current Population Surveys conducted by the U.S. Census Bureau. The data cont…
classification, multivariateThis database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay Guvenir: "The aim is to…
classification, multivariateThis simple domain contains 7 Boolean attributes and 10 concepts, the set of decimal digits. Recall that LED displays contain 7 light-emitting diodes -- …
classification, generator, multivariateIn [Cortez and Morais, 2007], the output 'area' was first transformed with a ln(x+1) function. Then, several Data Mining methods were applied. After fi…
multivariate, regressionThe data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand. This dataset contains 500 of the 790…
multivariate, regressionYahoo Flickr Creative Commons 100M (YFCC100M) dataset contains a list of photos and videos. This list is compiled from data available on Yahoo! Flickr. Al…
3d, clustering, community, detection, flickr, image, internet, landmark, recognition, reconstruction, socialThe Infra-Red Astronomy Satellite (IRAS) was the first attempt to map the full sky at infra-red wavelengths. This could not be done from ground observato…
classification, multivariateSequential (time-series) domain. Single-line melodies of 100 Bach chorales (originally 4 voices). The melody line can be studied independently of other …
time-series, univariateThis database has been artificially generated by using a first order theory which describes the structure of ten capital letters of the English alphabet a…
classification, multivariateThe references below describe a predecessor to this dataset and its development. They also give results (not cross-validated) for classification by a rule…
classification, multivariateThis database encodes the complete set of possible board configurations at the end of tic-tac-toe games, where "x" is assumed to have played first. The t…
classification, multivariateThe 5473 examples comes from 54 distinct documents. Each observation concerns one block. All attributes are numeric. Data are in a format readable by C4.5.
classification, multivariateFormat: Each observation concerns one university. In some cases, more information is provided about the attribute (e.g., units or domain). Some duplicates…
classification, multivariateThe data is stored in relational form across several files. The central file (MAIN) is a list of movies, each with a unique identifier. These identifiers …
multivariate, relational* The articles were published by Mashable (www.mashable.com) and their content as the rights to reproduce it belongs to them. Hence, this dataset does not…
classification, multivariate, regression1. Protocol: Seven male and three female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part …
classification, time-seriesThe "spam" concept is diverse: advertisements for products/web sites, make money fast schemes, chain letters, pornography... Our collection of spam e-mai…
classification, multivariateF. Bergadano supplied this database. Each instance contains many components, each of which has 8 attributes. Different instances in this database have d…
classification, multivariateRoss Quinlan: This data was given to me by Karl Ulrich at MIT in 1986. I didn't record his description at the time, but here's his subsequent (1992) rec…
multivariate, regressionThis file contains 9 sets of sanitized user data drawn from the command histories of 8 UNIX computer users at Purdue over the course of up to 2 years (USE…
sequential, textFor further details on this dataset and/or its attributes, please read the 'ReadMe.pdf' file included and/or consult the Master's Thesis 'Development of a…
classification, multivariateThis database is a standardized version of the original audiology database (see audiology.* in this directory). The non-standard set of attributes have b…
classification, multivariateContains training and testing data for classifying a high resolution aerial image into 9 types of urban land cover. Multi-scale spectral, size, shape, and…
classification, multivariateNotes: - Additional "background" knowledge is supplied that provides a partial ordering on some of the attribute values. - We are providing this dataset…
classification, multivariateThis database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. …
classification, multivariate, spatialThe dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with full…
multivariate, regressionThere are two versions to the database: - V1 contains the original examples and - V2 contains descriptions after discretizing numeric properti…
classification, multivariateInformation about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data was …
description, multivariate, regressionThis is an updated and corrected version of the data set used by Sejnowski and Rosenberg in their influential study of speech generation using a neural ne…
multivariateThis data was used by Hong and Young to illustrate the power of the optimal discriminant plane even in ill-posed settings. Applying the KNN method in the …
classification, multivariateHere is a summary of the domains that can be used currently with Prodigy. Each one is described briefly. For more information in any of them, read the RE…
domain-theoryThe Dataset is uploaded in ZIP format. The dataset contains 5 variants of the dataset, for the details about the variants and detailed analysis read and c…
multivariate, regression* The dataset was acquired and annotated by professional physicians at 'Hospital Universitario de Caracas'. * The subjective judgments (target variables) …
classification, multivariateThe original image collection was obtained from Corel at [Web Link]. There are 68,040 photo images from various categories. Each set of features is store…
multivariateThis is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories cataloged…
classification, multivariate, textDota 2 is a popular computer game with two teams of 5 players. At the start of the game each player chooses a unique hero with different strengths and wea…
classification, multivariateThe original data were formatted by Thorsten Joachims in the bag-of-words representation. There were 9947 features (of which 2562 are always zeros for all…
classification, multivariateTwo datasets are provided. the original dataset, in the form provided by Prof. Hofmann, contains categorical/symbolic attributes and is in the file "germ…
classification, multivariate2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three exp…
classification, multivariate1. Protocol: Three male and one female subjects (age 25 to 30), who have experienced aggression in scenarios such as physical fighting, took part in…
classification, time-seriesExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE…
classification, multivariateThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also breast-cancer a…
classification, multivariateSeveral constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 year…
classification, multivariateThis data set includes descriptions of hypothetical samples corresponding to 23 species of gilled mushrooms in the Agaricus and Lepiota Family (pp. 500-52…
classification, multivariateThis is a custom generated dataset designed for the task of action co-segmentation in pairs of action sequences. The dataset contains 101 pairs of acti…
action cosegmentation, motion-capture-data, temporal segmentation, time-seriesThe data sets we propose to analyse are constituted of 1024 vectors, each vector includes 10 parameters. You can think of it as a 1024*10 matrix. To produ…
multivariateThe parameters which we used for collecting the dataset is referred from the paper 'The discovery of experts decision rules from qualitative bankruptcy da…
classification, multivariateDrugs are typically small organic molecules that achieve their desired activity by binding to a target site on a receptor. The first step in the discovery…
classification, multivariateThe dataset was built from a personal collection of 1059 tracks covering 33 countries/area. The music used is traditional, ethnic or `world' only, as cla…
classification, multivariate, regressionMammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy resultin…
classification, multivariateThis data set was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice. Hence, we have 52 training examples from each sp…
classification, multivariateNumber of instances 1030 Number of Attributes 9 Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable Missing Attribute …
multivariate, regressionThis database contains 5 numeric-valued attributes. Only a subset of 3 are used during testing (the latter 3). Furthermore, only 2 of the 3 concepts are…
classification, multivariateNorthix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases. Northix is the resulting schema m…
classification, multivariate, text, univariateThis dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey. The samples are married women who were either not pregnant or do …
classification, multivariateThe NASA data set comprises different size NACA 0012 airfoils at various wind tunnel speeds and angles of attack. The span of the airfoil and the observer…
multivariate, regressionThe dataset was collected at 'Hospital Universitario de Caracas' in Caracas, Venezuela. The dataset comprises demographic information, habits, and histori…
classification, multivariateThe experiments have been carried out by means of a numerical simulator of a naval vessel (Frigate) characterized by a Gas Turbine (GT) propulsion plant. …
multivariate, regressionApproximately 80% of the data belongs to class 1. Therefore the default accuracy is about 80%. The aim here is to obtain an accuracy of 99 - 99.9%. The e…
classification, multivariateThe data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more th…
classification, multivariateThis is a rule-based model that qualitatively simulates moral reasoning. The model was intended to simulate how an ordinary person, down to about age five…
domain-theoryThe dataset is used in the evaluation of EER, FRR and FAR metrics using a new anomaly detector model (Med-Min-Diff). The typed text in the experiment is t…
classification, multivariatePredicting forest cover type from cartographic variables only (no remotely sensed data). The actual forest cover type for a given observation (30 x 30 me…
classification, multivariateThis data set contains some training and testing data from a remote sensing study by Johnson et al. (2013) that involved detecting diseased trees in Quick…
classification, multivariateThis data set was generated to model psychological experimental results. Each example is classified as having the balance scale tip to the right, tip to …
classification, multivariateCost Matrix _______ abse pres absence 0 1 presence 5 0 where the rows represent the true values and the columns the predicted.
classification, multivariateThis data records interactions with Entree Chicago restaurant recommendation system (originally [Web Link]) from September, 1996 to April, 1999. The data …
recommender, sequential, transactionalThe HTML source of a web page is given. Users looked at each web page and inidated on a 3 point scale (hot medium cold) 50-100 pages per domain. However, …
classification, multivariate, textThe main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiogra…
classification, multivariate, regressionThe All I Have Seen (AIHS) dataset is created to study the properties of total visual input in humans, for around two weeks Nebojsa Jojic wore a camera ca…
3d, clustering, indoor, outdoor, scene, similarity, study, summary, user, videoThis dataset was derived from geospatial data from two sources: 1) Landsat time-series satellite imagery from the years 2014-2015, and 2) crowdsourced geo…
classification, multivariateThe file "sonar.mines" contains 111 patterns obtained by bouncing sonar signals off a metal cylinder at various angles and under various conditions. The …
classification, multivariateStyle, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type, Recommendation are Attributes in d…
classification, clustering, textThe purpose is to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be …
classification, multivariateThis data set contains 416 liver patient records and 167 non liver patient records.The data set was collected from north east of Andhra Pradesh, India. Se…
classification, multivariateThis file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect confidentiality of the da…
classification, multivariateThis dataset is an addition to the dataset at [Web Link] We collected more dataset to improve the accuracy of our HAR algorithms applied in …
classification, time-seriesThe QSAR biodegradation dataset was built in the Milano Chemometrics and QSAR Research Group (Universit degli Studi Milano Bicocca, Milano, Italy). The r…
classification, multivariateThis is a tiny database. Michie reports that Burke's group used RULEMASTER to generate comprehendable rules for determining the conditions under which an…
classification, multivariateThis MALDI-TOF dataset consists in:A) A reference panel of 20 Gram positive and negative bacterial species covering 9 genera among which several species a…
classification, multivariateThis data file contains details of various nations and their flags. In this file the fields are separated by spaces (not commas). With this data you can …
classification, multivariatePlease ask Gail Gong for further information on this database.
classification, multivariateBiophysical models of mutant p53 proteins yield features which can be used to predict p53 transcriptional activity. All class labels are determined via i…
classification, multivariateThe MONK's problem were the basis of a first international comparison of learning algorithms. The result of this comparison is summarized in "The MONK's P…
classification, multivariateTwo approaches were tested: a collaborative filter technique and a contextual approach. (i) The collaborative filter technique used only one file i.e.,…
multivariateThis data set contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics a…
classification, multivariateThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Each …
classification, multivariateHere's the abstract from the above reference: ABSTRACT: Machine learning tools show significant promise for knowledge acquisition, particularly when huma…
classification, multivariateSee the file bridge-holden-paulson-details.txt in the submitted tarball.
classification, multivariateThe data are MC generated (see below) to simulate registration of high energy gamma particles in a ground-based atmospheric Cherenkov gamma telescope usin…
classification, multivariateThis archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at va…
classification, multivariateThe submitted file is set up as follows. In the first line is the the number of signal events followed by the number of background events. The signal even…
classification, multivariateThis radar data was collected by a system in Goose Bay, Labrador. This system consists of a phased array of 16 high-frequency antennas with a total trans…
classification, multivariateThe original paper demonstrated that it is possible to correctly replicate the experts' binary assessment with approximately 90% accuracy using both 10-fo…
classification, multivariateThe database consists of the multi-spectral values of pixels in 3x3 neighbourhoods in a satellite image, and the classification associated with the centra…
classification, multivariateTo demonstrate the RFMTC marketing model (a modified version of RFM), this study adopted the donor database of Blood Transfusion Service Center in Hsin-Ch…
classification, multivariateThis dataset is a slightly modified version of the dataset provided in the StatLib library. In line with the use by Ross Quinlan (1993) in predicting the…
multivariate, regressionThis dataset contains records of simulation crashes encountered during climate model uncertainty quantification (UQ) ensembles. Ensemble members were co…
classification, multivariateThis data comes from a water quality study where samples were taken from sites on different European rivers of a period of approximately one year. These s…
multivariateThe predicate no_payment_due/1 is true for those people who are not required to repay a student loan. Auxiliary relations can be used to fully discrimina…
domain-theoryFeatures are extracted from electric current drive signals. The drive has intact and defective components. This results in 11 different classes with diffe…
classification, multivariateVina conducted a comparison test of her rule-based system, BEAGLE, the nearest-neighbor algorithm, and discriminant analysis. BEAGLE is a product availab…
classification, multivariateThe instances were drawn randomly from a database of 7 outdoor images. The images were handsegmented to create a classification for every pixel. Ea…
classification, multivariate2 data files: -- horse-colic.data: 300 training instances -- horse-colic.test: 68 test instances Possible class attributes: 24 (whether lesi…
classification, multivariate21 bioassay datasets generated from Pubchem. Both Primary and confirmatory bioassays (12 bioassays, 21 mixes)The data is provided in the same train/test s…
classification, multivariateI think you'll find some limited documentation on Mike's database in his papers. His dissertation would be a good reference (UCLA). Perhaps pages 152-15…
domain-theoryEach record is an example of a hand consisting of five playing cards drawn from a standard deck of 52. Each card is described using two attributes (suit a…
classification, multivariateThe companion file is a Common Lisp demonstration file that generates knight-pin Chess end-game samples. Start up Lisp and load the file. It generates 10…
classification, generator, multivariateCar Evaluation Database was derived from a simple hierarchical decision model originally developed for the demonstration of DEX, M. Bohanec, V. Rajkovic: …
classification, multivariateThis DataSet is about the results of Statlog project. The project performed a comparative study between Statistical, Neural and Symbolic learning algorith…
classification, multivariateThe examples are complete and noise free. The examples highly simplified the problem. The attributes do not fully describe all the factors affecting the d…
classification, multivariateEach 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 eith…
classification, sequentialProvide all relevant information about your data set.
classification, multivariate, regression-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic …
classification, multivariateThere are three disadvantages of weighted scoring stock selection models. First, they cannot identify the relations between weights of stock-picking conce…
multivariate, regressionThe data comes from Internet Information Server (IIS) logs for msnbc.com and news-related portions of msn.com for the entire day of September, 28, 1999 (P…
sequentialThis data set is designed for testing indexing schemes in time series databases. It is a much larger dataset than has been used in any published study (Th…
time-series, univariateThe digits have been size-normalized and centered in a fixed-size image of dimension 28x28. The original data were modified for the purpose of the feature…
classification, multivariateThe most important feature of this dataset is its simplicity to use and its being well-documented, which can be widely used in various studies of text ana…
classification, multivariate, regression, textThis is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the machine learning literature. (See also breast-cancer …
classification, multivariateThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categor…
classification, multivariateInstrumentation: The data were collected at a sampling rate of 500 Hz, using as a programming kernel the National Instruments (NI) Labview. The signals we…
classification, time-seriesThis dataset contains 503 sponges belonging to the Demospongiae class collected from the Mediterranean (451 sponges) and Atlantic oceans (52 sponges). Eac…
classification, multivariateWe use the following representation to collect the dataset age - age bp - blood pressure sg - specific gravity al - …
classification, multivariateProvide all relevant information about your data set.
multivariate, regressionPitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through the…
classification, sequentialA small subset of the original soybean database. See the reference for Fisher and Schlimmer in soybean-large.names for more information. Steven Souders …
classification, multivariateThe data was collected retrospectively at Wroclaw Thoracic Surgery Centre for patients who underwent major lung resections for primary lung cancer in the …
classification, multivariateThis dataset describes a set of 92 molecules of which 47 are judged by human experts to be musks and the remaining 45 molecules are judged to be non-musks…
classification, multivariateThis research aimed at the case of customers default payments in Taiwan and compares the predictive accuracy of probability of default among six data mini…
classification, multivariateThis data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk r…
multivariate, regressionWe perform energy analysis using 12 different building shapes simulated in Ecotect. The buildings differ with respect to the glazing area, the glazing are…
classification, multivariate, regressionType of dependent variables (7 Types of Steel Plates Faults): 1.Pastry 2.Z_Scratch 3.K_Scatch 4.Stains 5.Dirtiness 6.Bumps 7.Other_Faults
classification, multivariateThe first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each l…
multivariateThe Airport MotionSeg dataset contains 12 sequences of videos of an aiprort scenario with small and large moving objects and various speeds. It is challen…
airport, camera, clustering, motion, segmentation, video, zoomPredicted Attribute: Localization site of protein. ( non-numeric ). The references below describe a predecessor to this dataset and its development. They…
classification, multivariateThe data set includes 103 data points. There are 7 input variables, and 3 output variables in the data set. The initial data set included 78 data. After s…
multivariate, regressionBiomedical data set built by Dr. Henrique da Mota during a medical residence period in the Group of Applied Research in Orthopaedics (GARO) of the Centre …
classification, multivariatePredicting the age of abalone from physical measurements. The age of abalone is determined by cutting the shell through the cone, staining it, and counti…
classification, multivariateWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions u…
clustering, detection, face, human, identification, multiview, pedestrian, real, recognition, sequence, surveillance, worldThe data consist of 16 binary inputs and one 'four-bit' one-hot classification output. The 16-bit inputs are binary-valued attack-point vectors. 1 indicat…
classification, multivariatePrediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ships performance and for estimati…
multivariate, regressionPast Usage: (a) Rgnvaldsson, You and Garwicz (2015) 'State of the art prediction of HIV-1 protease cleavage sites', Bioinformatics, vol 31 (8), p…
classification, multivariateVelloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th Internatio…
classification, multivariateThe source datasets needed to be combined via programming. Many variables are included so that algorithms that select or learn weights for attributes coul…
multivariate, regressionA simple database containing 17 Boolean-valued attributes. The "type" attribute appears to be the class attribute. Here is a breakdown of which animals …
classification, multivariateThis is a data set used by Ning Qian and Terry Sejnowski in their study using a neural net to predict the secondary structure of certain globular proteins…
classification, sequentialNursery Database was derived from a hierarchical decision model originally developed to rank applications for nursery schools. It was used during several …
classification, multivariateThis is one of three domains provided by the Oncology Institute that has repeatedly appeared in the machine learning literature. (See also lymphography an…
classification, multivariateThis data originates from blog posts. The raw HTML-documents of the blog posts were crawled and processed. The prediction task associated with the data …
multivariate, regressionThis is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced fre…
classification, multivariateThis data set includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The CQA lists nine diff…
classification, multivariateThe data was retrieved from a set of 53500 CT images from 74 different patients (43 male, 31 female). Each CT slice is described by two histograms in pol…
domain-theory, regressionThe dataset describes diagnosing of cardiac Single Proton Emission Computed Tomography (SPECT) images. Each of the patients is classified into two categor…
classification, multivariateThis database does NOT use a standard set of attributes per instance. Contact Ray Bareiss (rbareiss '@' uunet.uucp ?) for more information. Domain exper…
classification, multivariateThe file animals.c is a data generator of structured instances representing quadruped animals as used by Gennari, Langley, and Fisher (1989) to evaluate t…
classification, generator, multivariateEach record represents follow-up data for one breast cancer case. These are consecutive patients seen by Dr. Wolberg since 1984, and include only those c…
classification, multivariate, regressionTRAINING File : I have created training file with 100+ non malacious examples and 250+ malacious samples. NON-MALACIOUS dataset is represented by +1 while…
classification, multivariateThe PD database consists of training and test files. The training data belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female, 10 mal…
classification, multivariate, regressionThe main idea of this data set is to prepare the algorithm of the expert system, which will perform the presumptive diagnosis of two diseases of urinary …
classification, multivariateThere are four data sets representing different conditions of an experiment. All have the same attributes. a. adult-stretch.data Inflated is true if age…
classification, multivariateUncompressing rcv1rcv2aminigoutte.tar.bz2 will create a directory that contains 5 subdirectories EN, FR, GR, IT and SP, corresponding to the 5 languages.…
classification, multivariateThe presented dataset is composed of two tsv files named 'youtube_videos.tsv' and 'transcoding_mesurment.tsv'. The first contains 10 columns of fundament…
multivariate, regressionWe used preprocessing programs made available by NIST to extract normalized bitmaps of handwritten digits from a preprinted form. From a total of 43 peopl…
classification, multivariateMachine learning is used in high-energy physics experiments to search for the signatures of exotic particles. These signatures are learned from Monte Carl…
classification, multivariateThe six encoding are briefly described below: 1) chess_flann_new: Written by flann '@' cs.orst.edu. Employs a geometric representation for states, with e…
domain-theorySamples arrive periodically as Dr. Wolberg reports his clinical cases. The database therefore reflects this chronological grouping of the data. This group…
classification, multivariateThe dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represente…
classification, multivariate, regressionThis dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not. All featur…
classification, multivariateData were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for …
classification, multivariateExtraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the following conditions: ((AAGE…
classification, multivariateThe data consist of evaluations of teaching performance over three regular semesters and two summer semesters of 151 teaching assistant (TA) assignments a…
classification, multivariateNotes: -- 3 classes of waves -- 21 attributes, all of which include noise -- See the book for details (49-55, 169) -- waveform.data.Z …
classification, generator, multivariateThis dataset describes a set of 102 molecules of which 39 are judged by human experts to be musks and the remaining 63 molecules are judged to be non-musk…
classification, multivariateThe phishing problem is considered a vital issue in .COM industry especially e-banking and e-commerce taking the number of online transactions involving p…
classification, multivariateThis dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phras…
classification, multivariateMany real world applications need to know the localization of a user in the world to provide their services. Therefore, automatic user localization has be…
classification, multivariate, regressionThe original source for this data set is the IPUMS project (RugglesSobek, 1997). The IPUMS project is a large collection of federal census data which has …
multivariateIn this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran. Collecting information to f…
classification, multivariateDatabase contains records for 1885 respondents. For each respondent 12 attributes are known: Personality measurements which include NEO-FFI-R (neuroticism…
classification, multivariateMining activity was and is always connected with the occurrence of dangers which are commonly called mining hazards. A special case of such threat is a s…
classification, multivariateThe dataset is about bankruptcy prediction of Polish companies. The data was collected from Emerging Markets Information Service (EMIS, [Web Link]), which…
classification, multivariateUSPTO Algorithm Challenge, run by NASA-Harvard Tournament Lab and TopCoder Problem: Patent Labeling
classification, domain-theoryNotes: -- The database contains 3 potential classes, one for the number of times a certain type of solar flare occured in a 24 hour period. -- Each…
multivariate, regressionThe user first creates a classification model and then generates classified examples from it. To create a model, the following are specified: the number o…
classification, multivariateMany variables are included so that algorithms that select or learn weights for attributes could be tested. However, clearly unrelated attributes were n…
multivariate, regressionThere are two databases: (both use the same set of 5 attributes): 1. Primary o-ring erosion and/or blowby 2. Primary o-ring erosion only The two database…
multivariate, regression-- We aggregated screen movements into screen-fixations using a Salvucci & Goldberg (2000) dispersion-threshold algorithm, and defined Perception Actio…
multivariate, regressionThe dataset consists of a total of 3600 documents including 600 news/texts from six categories economy, culture-arts, health, politics, sports and techno…
classification, clustering, textThe dataset format is described below. Note: the format of this database was modified on 2/26/90 to conform with the format of all the other databases in…
classification, multivariateThis database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the o…
classification, multivariateThese data are the results of a chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis dete…
classification, multivariateData was used to test 2 tier approach with learning from positive and negative examples
multivariateThe estimated relative performance values were estimated by the authors using a linear regression method. See their article (pp 308-313) for more details…
multivariate, regressionARCENE was obtained by merging three mass-spectrometry datasets to obtain enough training and test data for a benchmark. The original features indicate th…
classification, multivariateAll the patients suffered heart attacks at some point in the past. Some are still alive and some are not. The survival and still-alive variables, when ta…
classification, multivariateThe objective is to identify each of a large number of black-and-white rectangular pixel displays as one of the 26 capital letters in the English alphabet…
classification, multivariateMADELON is an artificial dataset containing data points grouped in 32 clusters placed on the vertices of a five dimensional hypercube and randomly labeled…
classification, multivariateThe dataset contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patie…
classification, multivariateThis dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a parti…
classification, multivariateImpedance measurements were made at the frequencies: 15.625, 31.25, 62.5, 125, 250, 500, 1000 KHz Impedance measurements of freshly excised breast tissue …
classification, multivariateThe two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. For more details, consult: [Web Link] or the reference [Corte…
classification, multivariate, regressionNotes: -- 3 classes of waves -- 40 attributes, all of which include noise -- The latter 19 attributes are all noise attributes with mean…
classification, generator, multivariateThis data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social a…
classification, multivariate, regression