Data
Filter results by:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
53 runs0 likes2 downloads2 reach10 impact
92 instances - 6 features - 0 classes - 26 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
0 runs0 likes0 downloads0 reach6 impact
60 instances - 11 features - 0 classes - 14 missing values
b gtrg
0 runs0 likes0 downloads0 reach0 impact
4 instances - 7 features - classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
2 runs0 likes2 downloads2 reach6 impact
398 instances - 8 features - 0 classes - 6 missing values
__Changes w.r.t. version 1: renamed variables such that they match description.__ ### Dataset: Wilt Data Set ### Abstract: High-resolution Remote Sensing data set (Quickbird). Small number of training…
10946 runs0 likes1 downloads1 reach14 impact
4839 instances - 6 features - 2 classes - 0 missing values
The aim of this dataset is to distinguish between nasal (class 0) and oral sounds (class 1). Five different attributes were chosen to characterize each vowel: they are the amplitudes of the five first…
218302 runs5 likes34 downloads39 reach23 impact
5404 instances - 6 features - 2 classes - 0 missing values
test
0 runs0 likes0 downloads0 reach0 impact
8553 instances - 10 features - classes - 18454 missing values
* Title: User Knowledge Modeling Data Set * Abstract: It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D.…
153 runs1 likes8 downloads9 reach10 impact
403 instances - 6 features - 5 classes - 0 missing values
Dataset Title: Localization Data for Person Activity Data Set Abstract: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing…
6 runs0 likes6 downloads6 reach13 impact
164860 instances - 8 features - 11 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
119 runs0 likes5 downloads5 reach12 impact
50 instances - 7 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
866 runs1 likes11 downloads12 reach14 impact
7129 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
624 runs0 likes8 downloads8 reach13 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
847 runs0 likes7 downloads7 reach13 impact
250 instances - 6 features - 2 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
109963 runs1 likes19 downloads20 reach25 impact
15545 instances - 6 features - 2 classes - 0 missing values
PRO FOOTBALL SCORES (raw data appears after the description below) How well do the oddsmakers of Las Vegas predict the outcome of professional football games? Is there really a home field advantage -…
15930 runs0 likes19 downloads19 reach23 impact
672 instances - 10 features - 2 classes - 1200 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
854 runs0 likes7 downloads7 reach13 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
806 runs0 likes8 downloads8 reach13 impact
500 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
631 runs0 likes7 downloads7 reach13 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
789 runs0 likes8 downloads8 reach12 impact
73 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
780 runs0 likes7 downloads7 reach12 impact
66 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
598 runs0 likes8 downloads8 reach13 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
672 runs0 likes4 downloads4 reach13 impact
158 instances - 8 features - 2 classes - 87 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1111 runs0 likes9 downloads9 reach12 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
708 runs0 likes5 downloads5 reach12 impact
62 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
777 runs0 likes8 downloads8 reach13 impact
500 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1136 runs0 likes8 downloads8 reach12 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
723 runs0 likes5 downloads5 reach12 impact
34 instances - 9 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1119 runs0 likes8 downloads8 reach12 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
786 runs0 likes7 downloads7 reach13 impact
500 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
822 runs0 likes7 downloads7 reach13 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
594 runs0 likes8 downloads8 reach13 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
853 runs0 likes7 downloads7 reach13 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1767 runs0 likes14 downloads14 reach13 impact
3848 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
759 runs0 likes6 downloads6 reach12 impact
50 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
779 runs0 likes7 downloads7 reach13 impact
500 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1173 runs0 likes8 downloads8 reach12 impact
100 instances - 6 features - 2 classes - 0 missing values
No data.
9 runs0 likes2 downloads2 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
10 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
9 runs0 likes2 downloads2 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
10 runs0 likes2 downloads2 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
7 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
6 runs0 likes3 downloads3 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
7 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
6 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
7 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
30 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
29 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
28 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach5 impact
100 instances - 6 features - 0 classes - 0 missing values
Modified version of the training dataset of the Bike Sharing Demand challenge running on Kaggle (http://www.kaggle.com/c/bike-sharing-demand/) If you use the problem in publication, please cite:…
0 runs0 likes3 downloads3 reach4 impact
10886 instances - 12 features - 0 classes - 0 missing values
No data.
311 runs0 likes5 downloads5 reach2 impact
1000000 instances - 10 features - 2 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
0 runs0 likes1 downloads1 reach3 impact
228 instances - 8 features - classes - 20 missing values
Dataset listing all-time NFL passers through 1994 by the NFL passing efficiency rating. Associated passing statistics from which this rating is computed are included. The dataset lists statistics for…
0 runs0 likes0 downloads0 reach5 impact
26 instances - 7 features - 0 classes - 0 missing values
This dataset is synthetic. It was generated by David Coleman at RCA Laboratories in Princeton, N.J. For convenience, we will refer to it as the POLLEN DATA. The first three variables are the lengths…
0 runs0 likes0 downloads0 reach5 impact
3848 instances - 6 features - 0 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
0 runs0 likes0 downloads0 reach4 impact
7619400 instances - 6 features - 0 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
0 runs0 likes1 downloads1 reach3 impact
7619400 instances - 6 features - 0 classes - 0 missing values
Sampled http://www.openml.org/d/5889
0 runs0 likes1 downloads1 reach3 impact
761940 instances - 6 features - classes - 0 missing values
Another sample of COMET_MC
0 runs0 likes0 downloads0 reach4 impact
89640 instances - 6 features - 0 classes - 0 missing values
And another sample. (v. 2 without OpenML metainfo)
0 runs0 likes0 downloads0 reach3 impact
89640 instances - 6 features - classes - 0 missing values
Sample with OpenML metadata.
0 runs0 likes0 downloads0 reach4 impact
761940 instances - 6 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Weight treated as the class attribute. Identifier deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric…
10 runs0 likes2 downloads2 reach1 impact
158 instances - 8 features - 0 classes - 87 missing values
No data.
206 runs0 likes3 downloads3 reach2 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
67 runs0 likes2 downloads2 reach2 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
326 runs0 likes4 downloads4 reach2 impact
1000000 instances - 16 features - 2 classes - 0 missing values
No data.
310 runs0 likes2 downloads2 reach1 impact
1000000 instances - 14 features - 5 classes - 0 missing values
No data.
331 runs0 likes7 downloads7 reach1 impact
1000000 instances - 20 features - 2 classes - 0 missing values
Automated file upload of BNG(anneal)
100 runs0 likes3 downloads3 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
General Description of Thyroid Disease Databases and Related Files This directory contains 6 databases, corresponding test set, and corresponding documentation. They were left at the University of…
32 runs0 likes7 downloads7 reach5 impact
2800 instances - 27 features - 5 classes - 0 missing values
General Description of Thyroid Disease Databases and Related Files This directory contains 6 databases, corresponding test set, and corresponding documentation. They were left at the University of…
31 runs1 likes8 downloads9 reach5 impact
2800 instances - 27 features - 5 classes - 0 missing values
allbp-pmlb
31 runs0 likes1 downloads1 reach11 impact
3772 instances - 30 features - 3 classes - 0 missing values
allrep-pmlb
31 runs0 likes0 downloads0 reach11 impact
3772 instances - 30 features - 4 classes - 0 missing values
This dataset is gather to detect whether a person is running or walking based on deep neural networks and sensor data collected from iOS devices. The dataset represents 88588 sensor data samples…
1 runs0 likes3 downloads3 reach6 impact
88588 instances - 7 features - 2 classes - 0 missing values
dis-pmlb
31 runs0 likes0 downloads0 reach12 impact
3772 instances - 30 features - 2 classes - 0 missing values
__Major change w.r.t. version 1: updated data type of binary variables to factor type.__ Dataset from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch), which…
0 runs0 likes1 downloads1 reach2 impact
4562 instances - 49 features - classes - 0 missing values
These weekly averages are ultimately based on measurements of 4 air samples per hour taken atop intake lines on several towers during steady periods of CO2 concentration of not less than 6 hours per…
0 runs1 likes1 downloads2 reach1 impact
2225 instances - 7 features - 0 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
0 runs0 likes1 downloads1 reach3 impact
7619400 instances - 6 features - 0 classes - 0 missing values
No data.
29 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
No data.
29 runs0 likes1 downloads1 reach3 impact
1000000 instances - 39 features - 6 classes - 0 missing values
Data are collected from Kickstarter Platform You'll find most useful data for project analysis. Columns are self explanatory except: usd_pledged: conversion in US dollars of the pledged column…
0 runs0 likes0 downloads0 reach1 impact
331675 instances - 14 features - classes - 210 missing values
No data.
28 runs0 likes1 downloads1 reach5 impact
1000000 instances - 39 features - 6 classes - 0 missing values
Datasets for `Pattern Recognition and Neural Networks' by B.D. Ripley ===================================================================== Cambridge University Press (1996) ISBN 0-521-46086-7 The…
743 runs0 likes8 downloads8 reach8 impact
200 instances - 8 features - 2 classes - 0 missing values
Customer purchases on Black Friday
0 runs0 likes1 downloads1 reach3 impact
166821 instances - 10 features - 0 classes - 0 missing values
* Dataset Title: Vertebra Column - 2 classes * Abstract: Data set containing values for six biomechanical features used to classify orthopaedic patients into 3 classes (normal, disk hernia or…
124 runs0 likes5 downloads5 reach7 impact
310 instances - 7 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1078 runs0 likes11 downloads11 reach7 impact
108 instances - 8 features - 2 classes - 0 missing values
The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each line in the dataset constitutes the record of a…
191 runs2 likes30 downloads32 reach4 impact
345 instances - 6 features - 0 classes - 0 missing values
Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file…
0 runs0 likes0 downloads0 reach6 impact
40 instances - 7 features - 0 classes - 3 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes2 downloads2 reach6 impact
250 instances - 6 features - 0 classes - 0 missing values
Auto MPG (6 variables) dataset The data concerns city-cycle fuel consumption in miles per gallon (Mpg), to be predicted in terms of 1 multivalued discrete and 5 continuous attributes (two multivalued…
0 runs0 likes0 downloads0 reach1 impact
392 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach6 impact
1000 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach6 impact
100 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach6 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach6 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach6 impact
500 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes1 downloads1 reach6 impact
1000 instances - 6 features - 0 classes - 0 missing values
This file contains data from Regression Analysis By Example, 2nd Edition, by Samprit Chatterjee and Bertram Price, John Wiley, 1991. Data sets have names of the form 'rabe.xxx' where xxx is the page…
0 runs0 likes0 downloads0 reach6 impact
66 instances - 6 features - 0 classes - 0 missing values
This S dump contains 22 data sets from the book Visualizing Data published by Hobart Press (books@hobart.com). The dump was created by data.dump() and can be read back into S by data.restore(). The…
0 runs0 likes0 downloads0 reach6 impact
73 instances - 6 features - 0 classes - 0 missing values