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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…
717 runs0 likes5 downloads5 reach14 impact
90 instances - 9 features - 2 classes - 3 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…
652 runs0 likes17 downloads17 reach15 impact
12960 instances - 9 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…
736 runs0 likes6 downloads6 reach15 impact
364 instances - 33 features - 2 classes - 80 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…
765 runs0 likes13 downloads13 reach15 impact
1728 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…
1252 runs0 likes9 downloads9 reach14 impact
130 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…
1202 runs0 likes9 downloads9 reach14 impact
100 instances - 4 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…
728 runs0 likes7 downloads7 reach15 impact
2000 instances - 241 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…
774 runs0 likes9 downloads9 reach15 impact
797 instances - 5 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…
104 runs0 likes6 downloads6 reach15 impact
379 instances - 8 features - 2 classes - 1368 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…
709 runs0 likes9 downloads9 reach14 impact
48 instances - 5 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…
622 runs0 likes6 downloads6 reach17 impact
10108 instances - 69 features - 2 classes - 2699 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…
106 runs0 likes5 downloads5 reach14 impact
76 instances - 45 features - 2 classes - 22 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…
721 runs0 likes5 downloads5 reach15 impact
226 instances - 70 features - 2 classes - 317 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…
752 runs0 likes7 downloads7 reach15 impact
339 instances - 18 features - 2 classes - 225 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…
135 runs0 likes9 downloads9 reach15 impact
3190 instances - 61 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…
173 runs0 likes6 downloads6 reach24 impact
106 instances - 58 features - 2 classes - 0 missing values
This database contains all legal 8-ply positions in the game of connect-4 in which neither player has won yet, and in which the next move is not forced. Attributes represent board positions on a 6x6…
9610 runs0 likes11 downloads11 reach26 impact
67557 instances - 43 features - 3 classes - 0 missing values
No data.
291 runs0 likes4 downloads4 reach9 impact
1000000 instances - 17 features - 7 classes - 0 missing values
No data.
309 runs0 likes6 downloads6 reach12 impact
1000000 instances - 35 features - 6 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 likes9 downloads9 reach14 impact
9100 instances - 3 features - 9 classes - 0 missing values
------------------------------------------------------------------------------- TIME SERIES USED IN LONG-MEMORY PROCESSES, THE ALLAN VARIANCE AND WAVELETS BY D. B. PERCIVAL AND P. GUTTORP, A CHAPTER…
0 runs0 likes1 downloads1 reach14 impact
6875 instances - 1 features - 0 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 reach15 impact
576 instances - 12 features - 0 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
This dataset contains 206 attributes of 70 children with physical and motor disability based on ICF-CY. In particular, the SCADI dataset is the only one that has been used by ML researchers for…
0 runs0 likes0 downloads0 reach0 impact
70 instances - 206 features - classes - 0 missing values
Author: Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, - Masaaki Kotera, Gisbert Schneider Source:…
0 runs0 likes0 downloads0 reach0 impact
901 instances - 3 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach0 impact
520 instances - 17 features - classes - 0 missing values
test
0 runs0 likes0 downloads0 reach2 impact
101 instances - 18 features - classes - 0 missing values
analcatdata_happiness-pmlb
31 runs0 likes0 downloads0 reach21 impact
60 instances - 4 features - 3 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
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
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
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 likes1 downloads1 reach7 impact
538638 instances - 7 features - 2 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
sdwd dede
0 runs0 likes0 downloads0 reach7 impact
44 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
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
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
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
* 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
* 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
Author: Francesca Grisoni, Claudia S. Neuhaus, Miyabi Hishinuma, Gisela Gabernet, Jan A. Hiss, - Masaaki Kotera, Gisbert Schneider Source:…
0 runs0 likes1 downloads1 reach0 impact
949 instances - 3 features - classes - 0 missing values
artificial no anomaly
0 runs0 likes0 downloads0 reach0 impact
4032 instances - 2 features - classes - 0 missing values
artificial with anomaly
0 runs0 likes0 downloads0 reach0 impact
4032 instances - 2 features - classes - 0 missing values
artificial no anomaly
0 runs0 likes0 downloads0 reach0 impact
4032 instances - 2 features - 0 classes - 0 missing values
artificial with anomaly
0 runs0 likes0 downloads0 reach0 impact
4032 instances - 3 features - 2 classes - 0 missing values
Online advertisement clicking rates, where the metrics are cost-per-click (CPC) and cost per thousand impressions (CPM).
0 runs0 likes0 downloads0 reach0 impact
1643 instances - 2 features - classes - 0 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
####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:…
19055 runs1 likes6 downloads7 reach18 impact
500 instances - 13 features - 2 classes - 835 missing values
Data from https://doi.org/10.5281/zenodo.269636
0 runs0 likes5 downloads5 reach14 impact
4758 instances - 39 features - classes - 0 missing values
It is a public set of comments collected for spam research. It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period.…
0 runs0 likes0 downloads0 reach0 impact
350 instances - 5 features - classes - 0 missing values
The researchers of OCLAR Marwan et al. (2019), they gathered Arabic costumer reviews from and Zomato website on wide scope of domain, including restaurants, hotels, hospitals, local shops, etc. The…
0 runs0 likes0 downloads0 reach0 impact
3916 instances - 3 features - classes - 0 missing values
It is a public set of comments collected for spam research. It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period.…
0 runs0 likes0 downloads0 reach0 impact
350 instances - 5 features - classes - 0 missing values
It is a public set of comments collected for spam research. It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period.…
0 runs0 likes0 downloads0 reach0 impact
370 instances - 5 features - classes - 0 missing values
It is a public set of comments collected for spam research. It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period.…
0 runs0 likes0 downloads0 reach0 impact
438 instances - 5 features - 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
It is a public set of comments collected for spam research. It has five datasets composed by 1,956 real messages extracted from five videos that were among the 10 most viewed on the collection period.…
0 runs0 likes0 downloads0 reach0 impact
448 instances - 5 features - classes - 245 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"…
175 runs3 likes19 downloads22 reach9 impact
101 instances - 17 features - 7 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 reach12 impact
366 instances - 35 features - 6 classes - 8 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
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…
766 runs0 likes5 downloads5 reach14 impact
55 instances - 3 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…
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…
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…
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…
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…
739 runs0 likes7 downloads7 reach15 impact
475 instances - 4 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…
581 runs0 likes5 downloads5 reach14 impact
400 instances - 6 features - 4 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…
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). 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). 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
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). 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…
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…
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). 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). 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…
154 runs0 likes9 downloads9 reach15 impact
2001 instances - 2 features - 2 classes - 0 missing values