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
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
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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
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5 instances - 2 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.
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61 instances - 3 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository. Preprocessing: transform to two-class
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862 instances - 3 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.
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52 instances - 3 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
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
This data set concerns the study of the factors affecting patterns of insulin-dependent diabetes mellitus in children. The objective is to investigate the dependence of the level of serum C-peptide on…
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43 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 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
b
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150 instances - 4 features - 3 classes - 0 missing values
b
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150 instances - 4 features - 3 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 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.
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2178 instances - 4 features - 0 classes - 0 missing values
No data.
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150 instances - 5 features - 4 classes - 31 missing values
Title: Blood Transfusion Service Center Data Set Abstract: Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem.…
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748 instances - 5 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
Source: Owner of database: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe, volker.lohweg '@' hs-owl.de) Donor of database: Helene Doerksen (University of Applied Sciences,…
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1372 instances - 5 features - 2 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! NAME: Sexual activity and the lifespan of male fruitflies TYPE: Designed (almost factorial)…
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125 instances - 5 features - 0 classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
test
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150 instances - 5 features - classes - 0 missing values
1. Title: Balance Scale Weight & Distance Database 2. Source Information: (a) Source: Generated to model psychological experiments reported by Siegler, R. S. (1976). Three Aspects of Cognitive…
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625 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…
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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
This data sets consists of 3 different types of irises' (Setosa, Versicolour, and Virginica) petal and sepal length, stored in a 150x4 numpy.ndarray
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150 instances - 5 features - 3 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
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15545 instances - 6 features - 2 classes - 0 missing values
* Dataset: Wilt Data Set * Abstract: High-resolution Remote Sensing data set (Quickbird). Small number of training samples of diseased trees, large number for other land cover. Testing data set from…
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4839 instances - 6 features - 2 classes - 0 missing values
Data from StatLib (ftp stat.cmu.edu/datasets) These data are those collected in a cloud-seeding experiment in Tasmania between mid-1964 and January 1971. Their analysis, using regression techniques…
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108 instances - 6 features - 0 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
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
Testing dataset upload when the data is a list of lists
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14 instances - 6 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
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
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
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 - 6 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
* Title: Phoneme dataset * Abstract: The aim of this dataset is to distinguish between nasal (class 0) and oral sounds (class 1). The class distribution is 3,818 samples in class 0 and 1,586 samples…
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5404 instances - 6 features - 2 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 - 7 features - 10 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