This 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). Elevation values where extracted from a publicly available massive Laser Scan Point Cloud for Denmark (available at : [Web Link] (Bottom-most dataset)). This 3D road network was eventually used for benchmarking various fuel and CO2 estimation algorithms. This dataset can be used by any applications that require to know very accurate elevation information of a road network to perform more accurate routing for eco-routing, cyclist routes etc. For the data mining and machine learning community, this dataset can be used as 'ground-truth' validation in spatial mining techniques and satellite image processing. It has no class labels, but can be used in unsupervised learning and regression to guess some missing elevation information for some points on the road. The work was supported by the Reduction project that is funded by the European Comission as FP7-ICT-2011-7 STREP project number 288254.
Open University Learning Analytics Dataset (OULAD) contains data about courses, students and their interactions with Virtual Learning Environment (VLE) ...
classification, clustering, sequential, regression, time-series, multivariateThe experiments have been carried out with a group of 115 students of first-year, undergraduate Engineering major of the University of Genoa. We carri...
classification, clustering, sequential, regression, time-series, multivariateKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. I...
univariate, classification, clustering, regression, multivariate, textKEGG Metabolic pathways can be realized into network. Two kinds of network / graph can be formed. These include Reaction Network and Relation Network. I...
univariate, classification, clustering, regression, multivariate, textDocuments are first obtained via a Web search using AMIEI: an integrated platform for delivering enterprise intelligence, developed by AMI Software ([We...
multivariate, text, clustering, sequentialIndoor localization is a key topic for mobile computing. However, it is still very difficult for the mobile sensing community to compare state-of-art In...
classification, clustering, sequential, regression, time-series, multivariateThe dataset could contain missing values. The data was sampled every minute, computing and uploading it smoothed with 15 minute means. The header of the...
text, sequential, regression, time-series, multivariateIndoor localisation is a key topic for the Ambient Intelligence (AmI) research community. In this scenarios, recent advancements in wearable technolog...
classification, clustering, sequential, regression, time-series, multivariateThe 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...
multivariate, classification, clustering, sequentialThis 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 (U...
text, sequentialThis dataset comprises information regarding the ADLs performed by two users on a daily basis in their own homes. This dataset is composed by two insta...
classification, clustering, sequential, time-series, multivariateThe PD and control handwriting database consists of 62 PWP (People with parkinson) and 15 healthy individuals who appealed at the Department of Neurolog...
regression, multivariate, classification, clusteringOur 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 por...
univariate, classification, sequential, causal-discovery, multivariate, textThe 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 a...
regression, multivariate, text, classificationThe automated analysis of facial expressions has been widely used in different research areas, such as biometrics or emotional analysis. Special impo...
multivariate, classification, clustering, sequentialStyle, Price, Rating, Size, Season, NeckLine, SleeveLength, waiseline, Material, FabricType, Decoration, Pattern, Type, Recommendation are Attributes in...
text, classification, clusteringThis 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...
classification, clustering, sequential, time-series, multivariateThis archive contains 2075259 measurements gathered between December 2006 and November 2010 (47 months). Notes: 1.(global_active_power*1000/60 - sub_me...
regression, time-series, multivariate, clusteringOngoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the ...
regression, multivariate, clustering, causal-discoveryCollect the real time readings for residential,commercial,industrial,agriculure,to find the accuracy consumption in Tamil Nadu Around Thanajvur
regression, multivariate, classification, clusteringThe dataset consists of a total of 3600 documents including 600 news/texts from six categories economy, culture-arts, health, politics, sports and tech...
text, classification, clusteringThe DrivFace database contains images sequences of subjects while driving in real scenarios. It is composed of 606 samples of 640480 pixels each, acquir...
regression, multivariate, classification, clusteringThe dataset collects data from an Android smartphone positioned in the chest pocket. Accelerometer Data are collected from 22 participants walking in th...
univariate, classification, clustering, sequential, time-seriesPlease see the README for the details on the data organization, and so on.
multivariate, text, classification, clusteringThe 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...
text, classification, clustering, multivariate, domain-theoryThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurem...
text, classification, clustering, causal-discoveryThis data set contains 13,910 measurements from 16 chemical sensors exposed to 6 gases at different concentration levels. This dataset is an extension o...
causa, classification, clustering, regression, time-series, multivariateFor complete information see the official challenge page: [Web Link]
clustering, sequential, causal-discovery, time-series, multivariate, domain-theoryFor 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...
text, clustering--- The dataset collects data from a wearable accelerometer mounted on the chest --- Sampling frequency of the accelerometer: 52 Hz --- Acceler...
univariate, classification, clustering, 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-...
clustering, causal-discovery, regression, time-series, domain-theoryData 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....
regression, time-series, clusteringThe 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 th...
text, clusteringThe dataset is composed by features extracted from 7 videos with people gesticulating, aiming at studying Gesture Phase Segmentation. Each video is repr...
classification, clustering, sequential, time-series, multivariateA description of the underlying Cargo 2000 standard and the processes reflected in the data set can be found at [Web Link].
regression, multivariate, classification, 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 ...
text, classification, clustering, multivariate, domain-theoryPitch classes information has been extracted from MIDI sources downloaded from (JSB Chorales)[[Web Link]]. Meter information has been computed through t...
classification, sequentialThe 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 p...
regression, domain-theoryThe 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 observ...
regression, multivariateYahoo Flickr Creative Commons 100M (YFCC100M) dataset contains a list of photos and videos. This list is compiled from data available on Yahoo! Flickr. ...
internet, reconstruction, recognition, image, community, social, 3d, clustering, detection, flickr, landmarkCSV format where each row is a paper and each column is an attribute.
multivariate, clusteringThe CSV holds one cell per review, except the first row, which is the header. All the 401 reviews were collected between January and August of 2015.
textData is collected from imkb.gov.tr and finance.yahoo.com. Data is organized with regard to working days in Istanbul Stock Exchange.
univariate, classification, regression, time-series, multivariateThe data set gathered when we were working at project for Bahrain university between 2002 and 2003.
domain-theory, univariate, classification, clusteringNews are grouped into clusters that represent pages discussing the same news story. The dataset includes also references to web pages that, at the acce...
multivariate, classification, clusteringThe abstracts, one per file, were furnished by the NSF (National Science Foundation). A sample abstract is shown in the next section. The bag-of-word d...
textThis data set contains time series of greenhouse gas (GHG) concentrations at 2921 grid cells in California created using simulations of the Weather Rese...
regression, time-series, multivariateWe collected a video dataset, termed ChokePoint, designed for experiments in person identification/verification under real-world surveillance conditions...
face, real, human, recognition, world, pedestrian, identification, clustering, multiview, surveillance, detection, sequenceThere are three disadvantages of weighted scoring stock selection models. First, they cannot identify the relations between weights of stock-picking con...
regression, multivariateMany variables are included so that algorithms that select or learn weights for attributes could be tested. However, clearly unrelated attributes were...
regression, multivariate-- We aggregated screen movements into screen-fixations using a Salvucci & Goldberg (2000) dispersion-threshold algorithm, and defined Perception Act...
regression, multivariateThis dataset represents a real-life benchmark in the area of Ambient Assisted Living applications, as described in [1]. The binary classification task c...
time-series, multivariate, classification, sequentialThe YACCLAB dataset includes both synthetic and real binary images and is suitable for a wide range of applications, ranging from document processing to...
fingerprints, videosurveillance, text, binary, medical, natural, labeling, randomnoiseProblem Description: Splice junctions are points on a DNA sequence at which `superfluous' DNA is removed during the process of protein creation in hig...
domain-theory, classification, sequentialThe two datasets are related to red and white variants of the Portuguese "Vinho Verde" wine. For more details, consult: [Web Link] or the reference [Cor...
regression, multivariate, classificationThe presented dataset is composed of two tsv files named 'youtube_videos.tsv' and 'transcoding_mesurment.tsv'. The first contains 10 columns of fundame...
regression, multivariateThe time period is between Jan 1st, 2010 to Dec 31st, 2015. Missing data are denoted as NA.
regression, time-series, 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 patt...
multivariate, classification, clusteringThe data set consists of the expression levels of 77 proteins/protein modifications that produced detectable signals in the nuclear fraction of cortex. ...
multivariate, classification, clusteringNorthix is designed to be a schema matching benchmark problem for data integration of two entity relationship databases. Northix is the resulting schema...
multivariate, text, univariate, classificationThe 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...
regression, time-series, multivariateNotes: -- The database contains 3 potential classes, one for the number of times a certain type of solar flare occured in a 24 hour period. -- Ea...
regression, multivariateThe dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features represen...
multivariate, classification, clusteringThis data set contains the acquired time series from 16 chemical sensors exposed to gas mixtures at varying concentration levels. In particular, we gene...
regression, time-series, multivariate, classificationSamples (instances) are stored row-wise. Variables (attributes) of each sample are RNA-Seq gene expression levels measured by illumina HiSeq platform.
multivariate, classification, clusteringdataset are derived from the customers reviews in Amazon Commerce Website for authorship identification. Most previous studies conducted the identi...
multivariate, domain-theory, text, classificationThese are atlantic-mediterranean marine sponges that belong to O.Hadromerida (Demospongiae.Porifera).
multivariate, clusteringAll the 504 reviews were collected between January and August of 2015.
regression, classificationThis dataset was used in several classifications tasks related to the challenge of anuran species recognition through their calls. It is a multilabel da...
multivariate, classification, clusteringThis dataset was created for the Paper 'From Group to Individual Labels using Deep Features', Kotzias et. al,. KDD 2015 Please cite the paper if you wan...
text, classificationThe main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiog...
regression, multivariate, classificationBackground information: The data set concerns the earliest history of mankind. Prehistoric men created the desired shape of a stone tool by striking on ...
multivariate, classification, clustering, causal-discoveryThe experiments have been carried out by means of a numerical simulator of a naval vessel (Frigate) characterized by a Gas Turbine (GT) propulsion plant...
regression, multivariateThe estimated relative performance values were estimated by the authors using a linear regression method. See their article (pp 308-313) for more detai...
regression, multivariateIn 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 u...
time-series, classification, clusteringThe source datasets needed to be combined via programming. Many variables are included so that algorithms that select or learn weights for attributes co...
regression, multivariateWe have created the UJIpenchars2 character database by collecting samples from 60 writers at two different sites in two phases: 1st phase, 11 writers, c...
multivariate, classification, sequentialAll data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was det...
time-series, multivariate, classification, sequentialThe data is in the transactional form. It contains the Latin names (species or genus) and state abbreviations.
multivariate, clusteringPrediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ships performance and for estima...
regression, multivariateThe 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 ...
sequentialFor Further information about the variables see the file in the data folder.
text, classificationBrief Description of the Dataset: --------------------------------- Each of the 19 activities is performed by eight subjects (4 female, 4 male, between ...
time-series, multivariate, classification, clusteringThe dataset is composed by two tables. The first table go_track_tracks presents general attributes and each instance has one trajectory that is represen...
regression, multivariate, classificationThe 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...
time-series, classification, sequentialThe Text and Vision (TVGraz) dataset is an annotated multi-modal dataset which currently contains 10 visual object categories, 4030 images and associate...
text, evaluation, appearance, classificationNumber of instances 1030 Number of Attributes 9 Attribute breakdown 8 quantitative input variables, and 1 quantitative output variable Missing Attribut...
regression, multivariateAIMS AND PURPOSES This corpus is intended to do cleaning (or binarization) and enhancement of noisy grayscale printed text images using supervised lear...
regression, multivariate, classificationAutomatic identification of commercial blocks in news videos finds a lot of applications in the domain of television broadcast analysis and monitoring. ...
multivariate, classification, clusteringThis data was collected from text ads found on twelve websites that deal with various farm animal related topics. Information from the ad creative and ...
text, classificationThis data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social...
regression, multivariate, classificationThe examined group comprised kernels belonging to three different varieties of wheat: Kama, Rosa and Canadian, 70 elements each, randomly selected for t...
multivariate, classification, clusteringThe table below lists the datasets, the YouTube video ID, the amount of samples in each class and the total number of samples per dataset. Dataset --- ...
text, classificationIn [Cortez and Morais, 2007], the output 'area' was first transformed with a ln(x+1) function. Then, several Data Mining methods were applied. After ...
regression, multivariate-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heurist...
multivariate, classification, clustering--- By using a tweet crawler, we collect 2000 labelled tweets (1000 positive tweets and 1000 negative ones) on various topics such as: politics ...
text, classificationRoss 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) r...
regression, multivariateProvide all relevant information about your data set.
regression, multivariatePlease find the original data at '[Web Link]'
time-series, multivariate, classification, clusteringThis 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 protei...
classification, sequentialThis data records interactions with Entree Chicago restaurant recommendation system (originally [Web Link]) from September, 1996 to April, 1999. The dat...
recommender, transactional, sequentialSVHN is a real-world image dataset for developing machine learning and object recognition algorithms with minimal requirement on data preprocessing and ...
urban, real, recognition, text, streetside, world, streetview, classification, detection, numberThis dataset includes the recordings of five replicates of an 8-sensor array. Each unit holds 8 MOX sensors and integrates custom-designed electronics f...
classification, regression, time-series, multivariate, domain-theoryThe characters here were used for a PhD study on primitive extraction using HMM based models. The data consists of 2858 character samples, contained in ...
time-series, classification, clusteringCar Reviews ------------ -Full reviews of cars for model-years 2007, 2008, and 2009 -There are about 140-250 cars for each model year -Extracted fields ...
textEach record represents follow-up data for one breast cancer case. These are consecutive patients seen by Dr. Wolberg since 1984, and include only those...
regression, multivariate, classificationThe measurements were created to ease the development, comparison and evaluation of fingerprinting based hybrid indoor positioning methods. The measurem...
time-series, multivariate, classification, sequentialMany real world applications need to know the localization of a user in the world to provide their services. Therefore, automatic user localization has ...
regression, multivariate, classificationI collected 64 e-mails from DBWorld newsletter and I used them to train different algorithms in order to classify between 'announces of conferences' and...
text, classificationThis is a data set containing 1080 documents of free text business descriptions of Brazilian companies categorized into a subset of 9 categories catalog...
multivariate, text, classificationWe perform energy analysis using 12 different building shapes simulated in Ecotect. The buildings differ with respect to the glazing area, the glazing a...
regression, multivariate, classificationThe Dataset for ADL Recognition with Wrist-worn Accelerometer is a public collection of labelled accelerometer data recordings to be used for the creati...
time-series, multivariate, classification, clusteringBike sharing systems are new generation of traditional bike rentals where whole process from membership, rental and return back has become automatic. Th...
regression, univariateYou should respect the following train / test split: train: first 463,715 examples test: last 51,630 examples It avoids the 'producer effect' by making ...
regression, multivariate* 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 at...
time-series, multivariate, classification, clusteringThe 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 fu...
regression, multivariateWe create a character database by collecting samples from 11 writers. Each writer contributed with letters (lower and uppercase), digits, and other cha...
multivariate, classification, sequentialThe 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...
multivariate, text, classificationThis 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 ...
multivariate, clusteringFrom the original readme file (please consult it for more information): ------------------------- The documents in the Reuters-21578 collection appeared...
text, classificationThe dataset contains 9358 instances of hourly averaged responses from an array of 5 metal oxide chemical sensors embedded in an Air Quality Chemical Mul...
regression, time-series, multivariatePeople 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...
time-series, univariate, classification, sequentialThe 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...
regression, multivariateThe 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 ...
similarity, scene, summary, user, indoor, outdoor, video, 3d, clustering, studyThis data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk...
regression, multivariateThe Airport MotionSeg dataset contains 12 sequences of videos of an aiprort scenario with small and large moving objects and various speeds. It is chall...
video, segmentation, motion, airport, clustering, camera, zoom- The leaves were placed on a white background and then photographed. - The pictures were taken in broad daylight to ensure optimum light intensity.
multivariate, classification, clusteringThis dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different c...
time-series, classification, clusteringHTRU2 is a data set which describes a sample of pulsar candidates collected during the High Time Resolution Universe Survey (South) [1]. Pulsars are a...
multivariate, classification, clusteringWe present a dataset to address the problem of visual privacy - where users unintentionally leak private information when sharing personal images online...
multilabel, privacy, classification, flickr, scene, regressionA chemical detection platform composed of 8 chemo-resistive gas sensors was exposed to turbulent gas mixtures generated naturally in a wind tunnel. The ...
regression, time-series, multivariate, classificationThe Heterogeneity Dataset for Human Activity Recognition from Smartphone and Smartwatch sensors consists of two datasets devised to investigate sensor h...
time-series, multivariate, classification, clusteringThis dataset contains Australian legal cases from the Federal Court of Australia (FCA). The cases were downloaded from AustLII ([Web Link]). We included...
text, classificationA 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 patt...
multivariate, classification, clusteringInformation about customers consists of 86 variables and includes product usage data and socio-demographic data derived from zip area codes. The data wa...
regression, multivariate, descriptionThe data was collected as part of the 1990 census. There are 68 categorical attributes. This data set was derived from the USCensus1990raw data set. T...
multivariate, clusteringData Characteristics: -------------------- This data was created by selecting 20 files each from the 10 largest classes in the Reuters-21578 collection...
text, classificationEach 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 ei...
classification, sequentialIdiap/ETHZ Faces and Poses Dataset dataset by L. Jie, B. Caputo and V. Ferrari contains 1703 image-caption pairs. [author] Captions contain the names of...
face detection, pedestrian, text, object poseThis dataset represents a real-life benchmark in the area of Activity Recognition applications, as described in [1]. The classification tasks consist ...
time-series, multivariate, classification, sequentialThere 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 databa...
regression, 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 c...
regression, multivariate, classificationThe 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,...
time-series, multivariate, classification, clusteringThe datas time period is between Jan 1st, 2010 to Dec 31st, 2014. Missing data are denoted as NA.
regression, time-series, multivariate* 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 n...
regression, multivariate, classificationProvide all relevant information about your data set.
multivariate, classification, clusteringA dataset of online handwritten assamese characters by collecting samples from 45 writers is created. Each writer contributed 52 basic characters, 10 nu...
multivariate, classification, sequentialThis dataset contains sentences extracted from user reviews on a given topic. Example topics are performance of Toyota Camry and sound quality of ipod n...
textYouTube Comedy Slam ([Web Link]) is a video discovery experiment running on YouTube's version of labs (called TestTube) for a few months in 2011 and 201...
text, classificationThis dataset has been developed to help evaluate a "hybrid" learning algorithm ("KBANN") that uses examples to inductively refine preexisting knowledge....
domain-theory, classification, sequentialThe 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 7...
regression, multivariateThis data set is generated from the original T40I10D100K data set, to mine fuzzy sequential patterns over quantitative streams. While the original T40I1...
sequentialThis 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 ...
regression, 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 t...
regression, multivariateThe provided files comprise three different data sets. The first one contains the raw values of the measurements of all 24 ultrasound sensors and the c...
multivariate, classification, sequentialFor 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 t...
time-series, multivariate, classification, sequential1. Title of Database: Machine Learning based ZZAlpha Stock Recommendations 2. Sources: (a) Original owners of data: ZZAlpha Ltd., 4729 E. Sunrise #10...
time-series, classification, sequentialThe 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...
regression, time-series, multivariate, classificationProvide all relevant information about your data set.
regression, multivariate, classification52 columns for 52 weeks; normalised values of provided too.
time-series, multivariate, clusteringPart of the problem in using an automated program to discover the unknown target function is to decide how to encode names such that the program can be ...
text, univariate, classificationIMPORTANT: we have lower performance on 'leave-one-subject-out' tests. The performance baseline index we established is for 10-fold cross-validation tes...
classification, sequentialThe 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 m...
regression, multivariate, classificationThis data originates from blog posts. The raw HTML-documents of the blog posts were crawled and processed. The prediction task associated with the dat...
regression, multivariateCSV format where each row is a paper and each column an attribute.
multivariate, clusteringThe 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...
regression, multivariate