OpenML
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Source: D. Lucas (ddlucas .at. alum.mit.edu), Lawrence Livermore National Laboratory; R. Klein (rklein .at. astron.berkeley.edu), Lawrence Livermore National Laboratory & U.C. Berkeley; J. Tannahill…
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540 instances - 21 features - 2 classes - 0 missing values
Source: Patrick Marques Ciarelli, pciarelli '@' lcad.inf.ufes.br, Department of Electrical Engineering, Federal University of Espirito Santo Elias Oliveira, elias '@' lcad.inf.ufes.br, Department of…
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1080 instances - 857 features - 9 classes - 0 missing values
All data is from one continuous EEG measurement with the Emotiv EEG Neuroheadset. The duration of the measurement was 117 seconds. The eye state was detected via a camera during the EEG measurement…
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14980 instances - 15 features - 2 classes - 0 missing values
Source: James P Bridge, Sean B Holden and Lawrence C Paulson University of Cambridge Computer Laboratory William Gates Building 15 JJ Thomson Avenue Cambridge CB3 0FD UK +44 (0)1223 763500…
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6118 instances - 52 features - 6 classes - 0 missing values
Title: Gas Sensor Array Drift Dataset Data Set Source: Creators: Alexander Vergara (vergara '@' ucsd.edu) BioCircutis Institute University of California San Diego San Diego, California, USA Donors of…
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13910 instances - 129 features - 6 classes - 0 missing values
Title: Human Activity Recognition Using Smartphones Abstract: Human Activity Recognition database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a…
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10299 instances - 562 features - 6 classes - 0 missing values
1. Source: Lee Graham (lee '@' stellaralchemy.com) Franz Oppacher (oppacher '@' scs.carleton.ca) Carleton University, Department of Computer Science Intelligent Systems Research Unit 1125 Colonel By…
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1212 instances - 101 features - 2 classes - 0 missing values
Source: 1. Bendi Venkata Ramana, ramana.bendi '@' gmail.com Associate Professor, Department of Information Technology, Aditya Instutute of Technology and Management, Tekkali - 532201, Andhra Pradesh,…
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583 instances - 11 features - 2 classes - 0 missing values
Abstract: MADELON is an artificial dataset, which was part of the NIPS 2003 feature selection challenge. This is a two-class classification problem with continuous input variables. The difficulty is…
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2600 instances - 501 features - 2 classes - 0 missing values
Relevant Papers: Laurent Candillier and Vincent Lemaire. Design and Analysis of the Nomao Challenge - Active Learning in the Real-World. In: Proceedings of the ALRA : Active Learning in Real-world…
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34465 instances - 119 features - 2 classes - 0 missing values
1 . Abstract: Two ground ozone level data sets are included in this collection. One is the eight hour peak set (eighthr.data), the other is the one hour peak set (onehr.data). Those data were…
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2534 instances - 73 features - 2 classes - 0 missing values
* Title: Phoneme dataset * Abstract: The aim of this dataset is to distinguish between nasal (class 0) and oral sounds (class 1). The class distribution is 3,818 samples in class 0 and 1,586 samples…
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5404 instances - 6 features - 2 classes - 0 missing values
1. One-hundred plant species leaves data set (class = margin). 2. Sources: (a) Original owners of colour Leaves Samples: James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman. The colour images…
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1600 instances - 65 features - 100 classes - 0 missing values
1. One-hundred plant species leaves data set (class = shape). 2. Sources: (a) Original owners of colour Leaves Samples: James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman. The colour images are…
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1600 instances - 65 features - 100 classes - 0 missing values
The data directory contains the binary images (masks) of the leaf samples. The colour images are not included. There are three features: Shape, Margin and Texture. As discussed in the paper(s) above.…
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1599 instances - 65 features - 100 classes - 0 missing values
QSAR biodegradation Data Set * Abstract: Data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and not ready biodegradable). *…
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1055 instances - 42 features - 2 classes - 0 missing values
* Dataset Title: Wall-Following Robot Navigation Data Data Set * Abstract: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a clockwise direction, for 4…
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5456 instances - 25 features - 4 classes - 0 missing values
Tattile Via Gaetano Donizetti, 1-3-5,25030 Mairano (Brescia), Italy. * Title: Semeion Handwritten Digit Data Set * Abstract: 1593 handwritten digits from around 80 persons were scanned, stretched in a…
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1593 instances - 257 features - 10 classes - 0 missing values
(www.semeion.it) * Title: Steel Plates Faults Data Set * Abstract: A dataset of steel plates' faults, classified into 7 different types. The goal was to train machine learning for automatic pattern…
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1941 instances - 34 features - 2 classes - 0 missing values
* Title: Tamilnadu Electricity Board Hourly Readings Data Set * Abstract: This data can be effectively produced the result to fewer parameter of the Load profile can be reduced in the Database *…
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45781 instances - 4 features - 20 classes - 0 missing values
* Title: Breast Cancer Wisconsin (Diagnostic) Data Set (WDBC) * Abstract: Diagnostic Wisconsin Breast Cancer Database * Source: Creators: 1. Dr. William H. Wolberg, General Surgery Dept. University of…
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569 instances - 31 features - 2 classes - 0 missing values
* Dataset Title: MicroMass - Pure (pure spectra version) * Abstract: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data. * Source:…
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571 instances - 1301 features - 20 classes - 0 missing values
* Dataset: Wilt Data Set * Abstract: High-resolution Remote Sensing data set (Quickbird). Small number of training samples of diseased trees, large number for other land cover. Testing data set from…
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4839 instances - 6 features - 2 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: transform to two-class
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862 instances - 3 features - 0 classes - 0 missing values
Prediction task is to determine whether a person makes over 50K a year. Extraction was done by Barry Becker from the 1994 Census database. A set of reasonably clean records was extracted using the…
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48842 instances - 15 features - 2 classes - 6465 missing values
Data from the Kaggle Bioresponse challenge: https://www.kaggle.com/c/bioresponse The objective of the competition is to help us build as good a model as possible so that we can, as optimally as this…
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3751 instances - 1777 features - 2 classes - 0 missing values
Data from the Kaggle Amazon Employee Access Challenge: https://www.kaggle.com/c/amazon-employee-access-challenge When an employee at any company starts work, they first need to obtain the computer…
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32769 instances - 10 features - 2 classes - 0 missing values
Source: Rami Mustafa A Mohammad ( University of Huddersfield, rami.mohammad '@' hud.ac.uk, rami.mustafa.a '@' gmail.com) Lee McCluskey (University of Huddersfield,t.l.mccluskey '@' hud.ac.uk ) Fadi…
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11055 instances - 31 features - 2 classes - 0 missing values
Additionally, the authors require a citation to one or more publications from those cited as relevant papers. Source: Creators: Renata Cristina Barros Madeo (Madeo, R. C. B.) Priscilla Koch Wagner…
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9873 instances - 33 features - 5 classes - 0 missing values
Abstract: Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative…
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1080 instances - 82 features - 8 classes - 1396 missing values
Process delays known as cylinder banding in rotogravure printing were substantially mitigated using control rules discovered by decision tree induction. Attribute Information: > 1. timestamp:…
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540 instances - 38 features - 2 classes - 999 missing values
Data on tree growth used in the Case Study published in the September, 1995 issue of the Canadian Journal of Statistics. This data set was been provided by Dr. Fernando Camacho, Ontario Hydro…
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2796 instances - 34 features - 6 classes - 68100 missing values
####1. Summary This dataset contain attributes of dresses and their recommendations according to their sales.Sales are monitor on the basis of alternate days. The attributes present analyzed are:…
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500 instances - 13 features - 2 classes - 835 missing values
1. Title of Database: LED display domain 2. Sources: (a) Breiman,L., Friedman,J.H., Olshen,R.A., & Stone,C.J. (1984). Classification and Regression Trees. Wadsworth International Group: Belmont,…
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500 instances - 8 features - 10 classes - 0 missing values
####1. Summary This database was generated by the Laboratory of Image Processing and Pattern Recognition (INPG-LTIRF) in the development of the Esprit project ELENA No. 6891 and the Esprit working…
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5500 instances - 41 features - 11 classes - 0 missing values
This is the famous Australian dataset, retrieved 2014-11-14 from the libSVM site. It was normalized. The original version is from…
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690 instances - 15 features - 2 classes - 0 missing values
No data.
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150 instances - 5 features - 4 classes - 31 missing values
No data.
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5810 instances - 3 features - 3894 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Testing dataset upload when the data is a list of lists
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14 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Testing dataset upload when the data is a list of lists
0 runs0 likes0 downloads0 reach0 impact
14 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a NumPy array
0 runs0 likes0 downloads0 reach0 impact
3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Testing dataset upload when the data is a list of lists
0 runs0 likes0 downloads0 reach0 impact
14 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a NumPy array
0 runs0 likes0 downloads0 reach0 impact
3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Testing dataset upload when the data is a list of lists
0 runs0 likes0 downloads0 reach0 impact
14 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a NumPy array
0 runs0 likes0 downloads0 reach0 impact
3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values