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Synthetic dataset created from a Pandas DataFrame
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5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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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…
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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…
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14 instances - 5 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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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…
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14 instances - 5 features - 2 classes - 0 missing values
Testing dataset upload when the data is a list of lists
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14 instances - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 6 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…
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14 instances - 5 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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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…
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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…
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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…
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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…
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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…
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14 instances - 5 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.
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61 instances - 3 features - 0 classes - 0 missing values
* Title: Tamilnadu Electricity Board Hourly Readings Data Set * Abstract: This data can be effectively produced the result to fewer parameter of the Load profile can be reduced in the Database *…
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45781 instances - 4 features - 20 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
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14 instances - 5 features - 2 classes - 0 missing values
1. Title: Contraceptive Method Choice 2. Sources: (a) Origin: This dataset is a subset of the 1987 National Indonesia Contraceptive Prevalence Survey (b) Creator: Tjen-Sien Lim (limt@stat.wisc.edu)…
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1473 instances - 10 features - 3 classes - 0 missing values
Irish Educational Transitions Data Below are shown data on educational transitions for a sample of 500 Irish schoolchildren aged 11 in 1967. The data were collected by Greaney and Kelleghan (1984),…
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500 instances - 6 features - 2 classes - 32 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based learning…
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195 instances - 11 features - 0 classes - 2 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
The weather problem is a tiny dataset that we will use repeatedly to illustrate machine learning methods. Entirely fictitious, it supposedly concerns the conditions that are suitable for playing some…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 features - 0 classes - 0 missing values
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…
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9100 instances - 3 features - 9 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:…
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500 instances - 13 features - 2 classes - 835 missing values
No data.
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5810 instances - 3 features - 3894 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
This is the large soybean database from the UCI repository, with its training and test database combined into a single file. There are 19 classes, only the first 15 of which have been used in prior…
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683 instances - 36 features - 19 classes - 2337 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
The multi-feature digit dataset ------------------------------- Oowned and donated by: ---------------------- Robert P.W. Duin Department of Applied Physics Delft University of Technology P.O. Box…
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2000 instances - 241 features - 10 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
5 instances - 1 features - 5 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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5 instances - 1 features - 5 classes - 0 missing values
Data from the Kaggle Amazon Employee Access Challenge: https://www.kaggle.com/c/amazon-employee-access-challenge When an employee at any company starts work, they first need to obtain the computer…
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32769 instances - 10 features - 2 classes - 0 missing values
Source: Rami Mustafa A Mohammad ( University of Huddersfield, rami.mohammad '@' hud.ac.uk, rami.mustafa.a '@' gmail.com) Lee McCluskey (University of Huddersfield,t.l.mccluskey '@' hud.ac.uk ) Fadi…
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11055 instances - 31 features - 2 classes - 0 missing values
Donor: G. Towell, M. Noordewier, and J. Shavlik Primate splice-junction gene sequences (DNA) with associated imperfect domain theory. All examples taken from Genbank 64.1. Categories "ei" and "ie"…
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3190 instances - 61 features - 3 classes - 0 missing values
1. Title: Car Evaluation Database 2. Sources: (a) Creator: Marko Bohanec (b) Donors: Marko Bohanec (marko.bohanec@ijs.si) Blaz Zupan (blaz.zupan@ijs.si) (c) Date: June, 1997 3. Past Usage: The…
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1728 instances - 7 features - 4 classes - 0 missing values
1. Title: Tic-Tac-Toe Endgame database 2. Source Information -- Creator: David W. Aha (aha@cs.jhu.edu) -- Donor: David W. Aha (aha@cs.jhu.edu) -- Date: 19 August 1991 3. Known Past Usage: 1.…
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958 instances - 10 features - 2 classes - 0 missing values
The Monk's Problems: Problem 1 This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks.…
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556 instances - 7 features - 2 classes - 0 missing values
The Monk's Problems: Problem 2 This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks.…
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601 instances - 7 features - 2 classes - 0 missing values
The Monk's Problems: Problem 3 This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks.…
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554 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…
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797 instances - 5 features - 6 classes - 0 missing values
1. Title: Mushroom Database 2. Sources: (a) Mushroom records drawn from The Audubon Society Field Guide to North American Mushrooms (1981). G. H. Lincoff (Pres.), New York: Alfred A. Knopf (b) Donor:…
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8124 instances - 23 features - 2 classes - 2480 missing values
1. Title: Chess End-Game -- King+Rook versus King+Pawn on a7 (usually abbreviated KRKPA7). The pawn on a7 means it is one square away from queening. It is the King+Rook's side (white) to move. 2.…
43 runs0 likes0 downloads0 reach0 impact
3196 instances - 37 features - 2 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Horsepower treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
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This dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phrases occurring in the URL, the image's URL and…
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Datasets from ACM KDD Cup (http://www.sigkdd.org/kddcup/index.php) KDD Cup 2009 http://www.kddcup-orange.com Converted to ARFF format by TunedIT Customer Relationship Management (CRM) is a key element…
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The KDD Cup 2009 offers the opportunity to work on large marketing databases from the French Telecom company Orange to predict the propensity of customers to switch provider (churn). Churn (wikipedia…
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