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140 instances - 4 features - classes - 0 missing values
Historical Rainfall data of Bangladesh
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16755 instances - 4 features - 0 classes - 0 missing values
This dataset is an artificial simulation of the Duffing system with one phase transition to the chaotic regime.
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9983 instances - 4 features - classes - 0 missing values
This dataset contains a simulation of the Lorenz attractor with the parameter $\rho$ varying in time. The stable and chaotic regimes alternate.
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4942 instances - 4 features - classes - 0 missing values
good
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10 instances - 4 features - classes - 2 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 reach5 impact
45781 instances - 4 features - 20 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: C1 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
54 runs0 likes3 downloads3 reach7 impact
28626 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: A1 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
273 runs0 likes4 downloads4 reach7 impact
3252 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E1 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
105 runs0 likes2 downloads2 reach7 impact
1183 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: D4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
121 runs0 likes4 downloads4 reach7 impact
8654 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: B4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
123 runs0 likes3 downloads3 reach7 impact
10190 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: A4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
136 runs0 likes5 downloads5 reach7 impact
1515 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E4 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
106 runs0 likes2 downloads2 reach7 impact
1252 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E5 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
105 runs0 likes4 downloads4 reach7 impact
1112 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E2 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
105 runs0 likes2 downloads2 reach7 impact
1080 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: E3 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
104 runs0 likes2 downloads2 reach7 impact
1277 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: D1 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
125 runs0 likes4 downloads4 reach7 impact
8753 instances - 4 features - 5 classes - 0 missing values
DATA FILE: Data on patient deaths within 30 days of surgery in 131 U.S. hospitals. See Christiansen and Morris, Bayesian Biostatistics, D. Berry and D. Stangl, editors, 1996, Marcel Dekker, Inc. Data…
0 runs0 likes0 downloads0 reach6 impact
131 instances - 4 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 reach6 impact
475 instances - 4 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 reach6 impact
475 instances - 4 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 reach6 impact
450 instances - 4 features - 0 classes - 0 missing values
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL INTRUDER BEHAVIOR FOR CONTINUOUS DATA" by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil Background: ========== In this paper we…
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662 instances - 4 features - 0 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.
2 runs0 likes0 downloads0 reach2 impact
52 instances - 4 features - 0 classes - 0 missing values
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL INTRUDER BEHAVIOR FOR CONTINUOUS DATA" by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil Background: ========== In this paper we…
0 runs0 likes0 downloads0 reach6 impact
662 instances - 4 features - 0 classes - 0 missing values
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL INTRUDER BEHAVIOR FOR CONTINUOUS DATA" by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil Background: ========== In this paper we…
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662 instances - 4 features - 0 classes - 0 missing values
Data Used in "A BAYESIAN APPROACH TO DATA DISCLOSURE: OPTIMAL INTRUDER BEHAVIOR FOR CONTINUOUS DATA" by Stephen E. Fienberg, Udi E. Makov, and Ashish P. Sanil Background: ========== In this paper we…
0 runs0 likes0 downloads0 reach6 impact
662 instances - 4 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 likes1 downloads1 reach6 impact
111 instances - 4 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 likes2 downloads2 reach6 impact
44 instances - 4 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 reach6 impact
132 instances - 4 features - 0 classes - 0 missing values
Data on fluctuating proportions of marked cells in marrow from heterozygous Safari cats from a study of early hematopoiesis. The data included below are 11 time series of proportions of marked…
2 runs0 likes2 downloads2 reach6 impact
140 instances - 4 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 likes1 downloads1 reach6 impact
468 instances - 4 features - 0 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: A2 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
119 runs0 likes4 downloads4 reach7 impact
1623 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: A3 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
133 runs0 likes7 downloads7 reach7 impact
1521 instances - 4 features - 5 classes - 0 missing values
This collection includes 21 data sets of one-dimensional ultrasound raw RF data (A-Scans) acquired from the calf muscles of 8 healthy volunteers. The subjects were asked to manually annotate the data…
0 runs0 likes1 downloads1 reach1 impact
212872 instances - 4 features - classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: D3 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
126 runs0 likes3 downloads3 reach7 impact
9285 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: B5 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
107 runs0 likes2 downloads2 reach7 impact
9989 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: B6 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
111 runs0 likes2 downloads2 reach7 impact
10130 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: B3 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
119 runs0 likes4 downloads4 reach7 impact
10386 instances - 4 features - 5 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: D2 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
118 runs0 likes3 downloads3 reach7 impact
9172 instances - 4 features - 5 classes - 0 missing values
* Title: Skin Segmentation Data Set * Abstract: The Skin Segmentation dataset is constructed over B, G, R color space. Skin and Nonskin dataset is generated using skin textures from face images of…
15 runs1 likes10 downloads11 reach7 impact
245057 instances - 4 features - 2 classes - 0 missing values
e eded
0 runs0 likes0 downloads0 reach0 impact
2 instances - 4 features - 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 reach7 impact
130 instances - 4 features - 0 classes - 0 missing values
File README ----------- smoothmeth A collection of the data sets used in the book "Smoothing Methods in Statistics," by Jeffrey S. Simonoff, Springer-Verlag, New York, 1996. Submitted by Jeff Simonoff…
0 runs0 likes0 downloads0 reach7 impact
2178 instances - 4 features - 0 classes - 0 missing values
* Dataset Title: Volcanoes on Venus - JARtool experiment Data Set Experiment: B1 * Source: Michael C. Burl MS 126-347, JPL 4800 Oak Grove Drive Pasadena, CA 91109 (818) 393-5345 Michael.C.Burl '@'…
119 runs0 likes4 downloads4 reach8 impact
10176 instances - 4 features - 5 classes - 0 missing values
PMLB version of the Titanic dataset, which only uses 3 features. See version 1 for the complete version: https://www.openml.org/d/40945
35 runs0 likes1 downloads1 reach16 impact
2201 instances - 4 features - 2 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.
2 runs0 likes2 downloads2 reach6 impact
2178 instances - 4 features - 0 classes - 0 missing values
test
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2178 instances - 4 features - classes - 0 missing values
Email dataset 1a
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4585 instances - 4 features - 0 classes - 0 missing values
Email dataset 2
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11507 instances - 4 features - 0 classes - 0 missing values
1. Title: Haberman's Survival Data 2. Sources: (a) Donor: Tjen-Sien Lim (limt@stat.wisc.edu) (b) Date: March 4, 1999 3. Past Usage: 1. Haberman, S. J. (1976). Generalized Residuals for Log-Linear…
3241 runs1 likes19 downloads20 reach7 impact
306 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…
1030 runs0 likes8 downloads8 reach12 impact
132 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…
1116 runs0 likes9 downloads9 reach12 impact
120 instances - 4 features - 2 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…
41 runs0 likes2 downloads2 reach12 impact
27 instances - 4 features - 4 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 reach12 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…
572 runs0 likes6 downloads6 reach12 impact
100 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…
514 runs0 likes7 downloads7 reach12 impact
130 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…
1088 runs0 likes8 downloads8 reach12 impact
132 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…
111 runs0 likes5 downloads5 reach12 impact
52 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…
1073 runs0 likes10 downloads10 reach12 impact
140 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…
792 runs0 likes7 downloads7 reach13 impact
662 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…
1268 runs0 likes11 downloads11 reach12 impact
131 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…
771 runs0 likes9 downloads9 reach13 impact
468 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…
1190 runs0 likes9 downloads9 reach12 impact
111 instances - 4 features - 2 classes - 0 missing values
CODING: ITEM 1 = BUSINESS CONDIDIONS 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 2 = JOBS 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 3 = FAMILY INCOME 6 MONTHS FROM NOW (CONFERENCE BOARD) ITEM 4 =…
560 runs0 likes4 downloads4 reach12 impact
72 instances - 4 features - 6 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 reach13 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 reach13 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…
739 runs0 likes7 downloads7 reach13 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…
775 runs0 likes13 downloads13 reach13 impact
2178 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 likes6 downloads6 reach13 impact
662 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…
1202 runs0 likes9 downloads9 reach12 impact
100 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…
703 runs0 likes6 downloads6 reach12 impact
44 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…
813 runs0 likes7 downloads7 reach13 impact
662 instances - 4 features - 2 classes - 0 missing values
87 persons with lupus nephritis. Followed up 15+ years. 35 deaths. Var = duration of disease. Over 40 baseline variables avaiable from authors. Description : For description of this data set arising…
737 runs0 likes9 downloads9 reach12 impact
87 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…
511 runs0 likes6 downloads6 reach13 impact
185 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…
802 runs0 likes8 downloads8 reach13 impact
662 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…
119 runs0 likes6 downloads6 reach12 impact
39 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…
708 runs0 likes5 downloads5 reach13 impact
365 instances - 4 features - 2 classes - 30 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…
746 runs0 likes7 downloads7 reach12 impact
72 instances - 4 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…
2 runs0 likes1 downloads1 reach5 impact
8641 instances - 5 features - 0 classes - 0 missing values
1. Title: Employee Selection (Ordinal ESL) 2. Source Informaion: Donor: Arie Ben David MIS, Dept. of Technology Management Holon Academic Inst. of Technology 52 Golomb St. Holon 58102 Israel…
0 runs0 likes0 downloads0 reach5 impact
488 instances - 5 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 likes1 downloads1 reach5 impact
39 instances - 5 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 reach5 impact
48 instances - 5 features - 0 classes - 0 missing values
Data originating from the book "Analyzing Categorical Data" by Jeffrey S. Simonoff.
1085 runs0 likes9 downloads9 reach7 impact
50 instances - 5 features - 2 classes - 0 missing values
MyExampleIris
32 runs0 likes1 downloads1 reach11 impact
150 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…
0 runs0 likes2 downloads2 reach4 impact
366 instances - 5 features - classes - 2 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 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 reach1 impact
14 instances - 5 features - 2 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach1 impact
150 instances - 5 features - 3 classes - 0 missing values