Data
Filter results by:
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. This is a…
423 runs0 likes14 downloads14 reach13 impact
120 instances - 7 features - 2 classes - 0 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:…
19054 runs1 likes6 downloads7 reach18 impact
500 instances - 13 features - 2 classes - 835 missing values
DBpedia with top-474 most frequent YAGO types HMC dataset for type prediction. Ingoing and outgoing properties as features
0 runs0 likes3 downloads3 reach11 impact
2886305 instances - 2401 features - classes - 0 missing values
analcatdata_happiness-pmlb
31 runs0 likes0 downloads0 reach20 impact
60 instances - 4 features - 3 classes - 0 missing values
Data from https://doi.org/10.5281/zenodo.269636
0 runs0 likes4 downloads4 reach14 impact
4758 instances - 39 features - classes - 0 missing values
One of the data sets used in the book "Analyzing Categorical Data" by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. Further details concerning the book, including information on statistical…
2 runs0 likes0 downloads0 reach13 impact
100 instances - 4 features - 0 classes - 0 missing values
test
0 runs0 likes0 downloads0 reach2 impact
101 instances - 18 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach3 impact
2580 instances - 7 features - classes - 2541 missing values
test
0 runs0 likes0 downloads0 reach3 impact
2580 instances - 7 features - classes - 2541 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 reach13 impact
365 instances - 4 features - 0 classes - 30 missing values
1. Title: Echocardiogram Data 2. Source Information: -- Donor: Steven Salzberg (salzberg@cs.jhu.edu) -- Collector: -- Dr. Evlin Kinney -- The Reed Institute -- P.O. Box 402603 -- Maimi, FL 33140-0603…
0 runs0 likes0 downloads0 reach8 impact
132 instances - 8 features - 4 classes - 103 missing values
No data.
309 runs0 likes6 downloads6 reach11 impact
1000000 instances - 35 features - 6 classes - 0 missing values
Data for the sensory evaluation experiment in Brien, C.J. and Payne, R.W. (1996) Tiers, structure formulae and the analysis of complicated experiments. submitted for publication. The experiment…
2 runs0 likes2 downloads2 reach14 impact
576 instances - 12 features - 0 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 likes0 downloads0 reach13 impact
48 instances - 5 features - 0 classes - 0 missing values
This 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 (USER0 and USER1 were generated by the same…
11 runs0 likes8 downloads8 reach14 impact
9100 instances - 3 features - 9 classes - 0 missing values
No data.
291 runs0 likes4 downloads4 reach9 impact
1000000 instances - 17 features - 7 classes - 0 missing values
Incident reports from the San Franciso Police Department between January 2003 and May 2018, provided by the City and County of San Francisco. The dataset was downloaded on 05.11.2018. from…
0 runs0 likes0 downloads0 reach7 impact
538638 instances - 7 features - 2 classes - 0 missing values
This dataset contains traffic violation information from all electronic traffic violations issued in the County. Any information that can be used to uniquely identify the vehicle, the vehicle owner or…
0 runs1 likes1 downloads2 reach9 impact
70340 instances - 21 features - 3 classes - 2288 missing values
sdwd dede
0 runs0 likes0 downloads0 reach7 impact
44 instances - 2 features - classes - 0 missing values
swd dced
0 runs0 likes0 downloads0 reach6 impact
589 instances - 3 features - classes - 0 missing values
sdsw frfr
0 runs0 likes0 downloads0 reach6 impact
1556 instances - 3 features - classes - 0 missing values
dd fgrfg
0 runs0 likes0 downloads0 reach7 impact
2 instances - 3 features - classes - 0 missing values
efef ffrf
0 runs0 likes0 downloads0 reach6 impact
9 instances - 3 features - classes - 0 missing values
ssc vdv
0 runs0 likes0 downloads0 reach6 impact
1556 instances - 2 features - classes - 0 missing values
swd cdef
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
sxd cde
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
wded def
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
sds dcdcc
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
Download test
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
xsxs cdf
0 runs0 likes0 downloads0 reach7 impact
6 instances - 2 features - classes - 0 missing values
wdwd cd
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
efef fdfef
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
zaxa xcdc
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
scs
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
wdede
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
swdw
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
werr
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
ssf
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
swd
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
ddef
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
1. Title: Ozone Level Detection 2. Source: Kun Zhang zhang.kun05 '@' gmail.com Department of Computer Science, Xavier University of Lousiana Wei Fan wei.fan '@' gmail.com IBM T.J.Watson Research…
0 runs0 likes1 downloads1 reach13 impact
2536 instances - 73 features - 0 classes - 0 missing values
It has 3 attributes (ID, tweet, label ) 91299 tweets with non-sarcastic 39998 tweets and 51300 sarcastic tweets.
0 runs0 likes0 downloads0 reach9 impact
91298 instances - 2 features - 0 classes - 0 missing values
1. Title: Dermatology Database 2. Source Information: (a) Original owners: -- 1. Nilsel Ilter, M.D., Ph.D., Gazi University, School of Medicine 06510 Ankara, Turkey Phone: +90 (312) 214 1080 -- 2. H.…
1756 runs0 likes14 downloads14 reach11 impact
366 instances - 35 features - 6 classes - 8 missing values
A simple database containing 17 Boolean-valued attributes describing animals. The "type" attribute appears to be the class attribute. Notes: * I find it unusual that there are 2 instances of "frog"…
173 runs3 likes18 downloads21 reach9 impact
101 instances - 17 features - 7 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…
581 runs0 likes5 downloads5 reach14 impact
400 instances - 6 features - 4 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…
899 runs0 likes8 downloads8 reach14 impact
130 instances - 3 features - 5 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 likes4 downloads4 reach16 impact
286 instances - 10 features - 2 classes - 9 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…
1899 runs0 likes13 downloads13 reach15 impact
1156 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
176 runs0 likes7 downloads7 reach14 impact
101 instances - 17 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
708 runs0 likes5 downloads5 reach15 impact
365 instances - 4 features - 2 classes - 30 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…
768 runs0 likes7 downloads7 reach15 impact
450 instances - 4 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…
154 runs0 likes9 downloads9 reach15 impact
2001 instances - 2 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…
115 runs0 likes5 downloads5 reach14 impact
40 instances - 2 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…
751 runs0 likes7 downloads7 reach15 impact
475 instances - 4 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…
572 runs0 likes6 downloads6 reach14 impact
100 instances - 3 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…
514 runs0 likes7 downloads7 reach14 impact
130 instances - 2 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
723 runs0 likes6 downloads6 reach15 impact
366 instances - 35 features - 2 classes - 8 missing values
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…
1149 runs0 likes10 downloads10 reach14 impact
138 instances - 3 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…
455 runs0 likes5 downloads5 reach14 impact
108 instances - 4 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…
1059 runs0 likes8 downloads8 reach15 impact
264 instances - 3 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…
728 runs0 likes6 downloads6 reach14 impact
61 instances - 3 features - 2 classes - 0 missing values
* Abstract: The data was created by a medical expert as a data set to test the expert system, which will perform the presumptive diagnosis of two diseases of the urinary system. * Source: Jacek…
391 runs0 likes11 downloads11 reach13 impact
120 instances - 7 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…
35 runs0 likes2 downloads2 reach14 impact
23 instances - 5 features - 3 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…
694 runs0 likes7 downloads7 reach14 impact
83 instances - 4 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…
118 runs0 likes3 downloads3 reach15 impact
195 instances - 11 features - 2 classes - 2 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…
746 runs0 likes13 downloads13 reach15 impact
1024 instances - 3 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…
739 runs0 likes7 downloads7 reach15 impact
475 instances - 4 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…
766 runs0 likes5 downloads5 reach14 impact
55 instances - 3 features - 2 classes - 0 missing values
* Dataset Title: Wall-Following Robot Navigation Data Data Set (version with 2 Attributes) * Abstract: The data were collected as the SCITOS G5 robot navigates through the room following the wall in a…
109 runs0 likes3 downloads3 reach14 impact
5456 instances - 3 features - 4 classes - 0 missing values
An artificial data set where instances belongs to several clusters with a banana shape. There are two attributes At1 and At2 corresponding to the x and y axis, respectively. The class label (-1 and 1)…
163 runs2 likes17 downloads19 reach14 impact
5300 instances - 3 features - 2 classes - 0 missing values
Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630.…
0 runs0 likes0 downloads0 reach12 impact
1000000 instances - 12 features - 0 classes - 0 missing values
Abstract: The data set is composed of 60 chorales (5665 events) by J.S. Bach (1675-1750). Each event of each chorale is labelled using 1 among 101 chord labels and described through 14 features.…
31 runs0 likes2 downloads2 reach13 impact
5665 instances - 17 features - 102 classes - 0 missing values
__Major changes w.r.t. version 2: ignored variable 3 in this upload as this seems to be ea perfect predictor.__ Tamilnadu Electricity Board Hourly Readings dataset. Real-time readings were collected…
0 runs0 likes2 downloads2 reach19 impact
45781 instances - 4 features - 20 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 likes2 downloads2 reach9 impact
14 instances - 5 features - 2 classes - 0 missing values
Historical Rainfall data of Bangladesh
0 runs0 likes0 downloads0 reach11 impact
16755 instances - 4 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 likes1 downloads1 reach9 impact
14 instances - 5 features - 2 classes - 0 missing values
This file holds global land temperatures by country
0 runs0 likes1 downloads1 reach10 impact
577462 instances - 4 features - classes - 64563 missing values
holds information on average temperature per country
0 runs0 likes0 downloads0 reach10 impact
577462 instances - 4 features - classes - 64563 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 likes1 downloads1 reach8 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 likes1 downloads1 reach8 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 reach8 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 reach8 impact
14 instances - 5 features - 2 classes - 0 missing values
good
0 runs0 likes0 downloads0 reach8 impact
10 instances - 4 features - classes - 2 missing values
testing
0 runs0 likes0 downloads0 reach7 impact
366 instances - 3 features - classes - 0 missing values
Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure. For this…
0 runs0 likes1 downloads1 reach6 impact
26969 instances - 8 features - 2 classes - 0 missing values
The data consist of 2001 observations taken from a balloon about 30 kilometres above the surface of the earth. In the section of the flight shown here the balloon increases in height. As radiation…
0 runs1 likes2 downloads3 reach13 impact
2001 instances - 2 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning…
10 runs1 likes2 downloads3 reach12 impact
195 instances - 11 features - 0 classes - 2 missing values
Wine data gathered by https://www.kaggle.com/zynicideThe data was scraped from WineEnthusiast during the week of June 15th, 2017. The code for the scraper can be found at…
0 runs0 likes0 downloads0 reach8 impact
150930 instances - 10 features - classes - 174477 missing values
Email dataset 1a
0 runs0 likes0 downloads0 reach2 impact
4585 instances - 4 features - 0 classes - 0 missing values
Email dataset 2
0 runs0 likes0 downloads0 reach2 impact
11507 instances - 4 features - 0 classes - 0 missing values
test
0 runs0 likes0 downloads0 reach3 impact
4324 instances - 9 features - classes - 3360 missing values
This is weather data in arff format
0 runs0 likes0 downloads0 reach2 impact
14 instances - 5 features - classes - 0 missing values
Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Electicity usage is being treated as the…
4 runs0 likes0 downloads0 reach9 impact
55 instances - 3 features - 0 classes - 0 missing values
Human Development Index [DATA] United Nations Development Program compiled an Index of Human Development. Column 1: Country(character) 2: Index 3: GNP GNP PER CAPITA RANK RANK - RANK HDI 1987 GNP RANK…
2 runs0 likes0 downloads0 reach13 impact
130 instances - 2 features - 0 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…
2 runs0 likes0 downloads0 reach13 impact
475 instances - 4 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 reach8 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 reach8 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 reach8 impact
14 instances - 5 features - 2 classes - 0 missing values
This dataset contains all the player names and player ids, taken from Sofifa
0 runs0 likes0 downloads0 reach8 impact
11009 instances - 3 features - classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Tumor-size treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
0 runs0 likes3 downloads3 reach12 impact
286 instances - 10 features - 0 classes - 9 missing values