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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
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Case number deleted. X treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric…
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418 instances - 19 features - 0 classes - 1239 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
Data from StatLib (ftp stat.cmu.edu/datasets) SUMMARY: Data from an experiment on the affects of machine adjustments on the time to count bolts. Data appear as the STATS (Issue 10) Challenge. DATA:…
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40 instances - 7 features - 0 classes - 0 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
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
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! All nominal attributes and instances with missing values are deleted. Price treated as the class attribute. As used by…
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159 instances - 16 features - 0 classes - 0 missing values
Donor: David W. Aha (aha@ics.uci.edu) This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one…
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303 instances - 14 features - 0 classes - 6 missing values
1. Title: Wisconsin Prognostic Breast Cancer (WPBC) 2. Source Information a) Creators: Dr. William H. Wolberg, General Surgery Dept., University of Wisconsin, Clinical Sciences Center, Madison, WI…
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194 instances - 33 features - 0 classes - 0 missing values
This is data set is concerned with the forward kinematics of an 8 link robot arm. Among the existing variants of this data set we have used the variant 8nm, which is known to be highly non-linear and…
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8192 instances - 9 features - 0 classes - 0 missing values
This data set is also obtained from the task of controlling the ailerons of a F16 aircraft, although the target variable and attributes are different from the ailerons domain. The target variable here…
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9517 instances - 7 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identification code deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
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189 instances - 10 features - 0 classes - 0 missing values
This is a commercial application described in Weiss & Indurkhya (1995). The data describes a telecommunication problem. No further information is available. Characteristics: (10000+5000) cases, 49…
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15000 instances - 49 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
Data from StatLib (ftp stat.cmu.edu/datasets) This is the data set called `DETROIT' in the book `Subset selection in regression' by Alan J. Miller published in the Chapman & Hall series of monographs…
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13 instances - 14 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Cholesterol treated as the class attribute. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using…
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303 instances - 14 features - 0 classes - 6 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 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 - 2 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 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
Data from StatLib (ftp stat.cmu.edu/datasets) Data from which conclusions were drawn in the article "Sleep in Mammals: Ecological and Constitutional Correlates" by Allison, T. and Cicchetti, D.…
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62 instances - 8 features - 0 classes - 12 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 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
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 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
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
The problem is to learn a regression equation/rule/tree to predict the activity from the descriptive structural attributes. The data and methodology is described in detail in: - King, Ross .D., Hurst,…
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186 instances - 61 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 - 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
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 - 2 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
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics; (b) its assigned insurance risk rating,; (c) its normalized losses in use as…
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159 instances - 16 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 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
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 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 with Sparse columns
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4 instances - 3 features - 0 classes - 0 missing values
!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…
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398 instances - 8 features - 0 classes - 6 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 2 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 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
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
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 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 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 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 - 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 NumPy array
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3 instances - 4 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 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 - 2 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 - 3 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