NAME vehicle silhouettes PURPOSE to classify a given silhouette as one of four types of vehicle, using a set of features extracted from the silhouette. The vehicle may be viewed from one of many…
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846 instances - 19 features - 4 classes - 0 missing values
Synthetic dataset created from a NumPy array
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3 instances - 4 features - 0 classes - 0 missing values
Source: Patrick Marques Ciarelli, pciarelli '@' lcad.inf.ufes.br, Department of Electrical Engineering, Federal University of Espirito Santo Elias Oliveira, elias '@' lcad.inf.ufes.br, Department of…
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1080 instances - 857 features - 9 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
* 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
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
The data directory contains the binary images (masks) of the leaf samples. The colour images are not included. There are three features: Shape, Margin and Texture. As discussed in the paper(s) above.…
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1599 instances - 65 features - 100 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
1. Title of Database: Pen-Based Recognition of Handwritten Digits 2. Source: E. Alpaydin, F. Alimoglu Department of Computer Engineering Bogazici University, 80815 Istanbul Turkey alpaydin@boun.edu.tr…
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10992 instances - 17 features - 10 classes - 0 missing values
1. Title: Image Segmentation data 2. Source Information -- Creators: Vision Group, University of Massachusetts -- Donor: Vision Group (Carla Brodley, brodley@cs.umass.edu) -- Date: November, 1990 3.…
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2310 instances - 20 features - 7 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 - 4 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 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
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 - 6 features - 2 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
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5 instances - 4 features - 2 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
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 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
Dataset representing the XOR operation
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4 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…
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 - 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
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
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
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
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
Dataset representing the XOR operation
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4 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…
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
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 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 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
Dataset representing the XOR operation
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4 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…
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
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
5 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
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
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
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442 instances - 11 features - 0 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 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
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
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame
0 runs0 likes0 downloads0 reach0 impact
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…
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
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 instances - 3 features - 0 classes - 0 missing values
Synthetic dataset created from a Pandas DataFrame with Sparse columns
0 runs0 likes0 downloads0 reach0 impact
4 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 classes - 0 missing values
.. _diabetes_dataset: Diabetes dataset ---------------- Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442…
0 runs0 likes0 downloads0 reach0 impact
442 instances - 11 features - 0 classes - 0 missing values
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
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
0 runs0 likes0 downloads0 reach0 impact
4 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…
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
Dataset representing the XOR operation
0 runs0 likes0 downloads0 reach0 impact
4 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…
0 runs0 likes0 downloads0 reach0 impact
14 instances - 5 features - 2 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
Dataset representing the XOR operation
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4 instances - 3 features - 0 classes - 0 missing values
1. Title of Database: Abalone data 2. Sources: (a) Original owners of database: Marine Resources Division Marine Research Laboratories - Taroona Department of Primary Industry and Fisheries, Tasmania…
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4177 instances - 9 features - 28 classes - 0 missing values
%-*- text -*- %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE data set made publicly available in order to encourage repeatable, verifiable, refutable,…
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1563 instances - 38 features - 2 classes - 0 missing values
Dataset artificially generated by using first order theory which describes structure of ten capital letters of English alphabet
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10218 instances - 8 features - 10 classes - 0 missing values
This data set was generated as follows. 150 subjects spoke the name of each letter of the alphabet twice. Hence, we have 52 training examples from each speaker. The speakers are grouped into sets of…
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7797 instances - 618 features - 26 classes - 0 missing values
Source: D. Lucas (ddlucas .at. alum.mit.edu), Lawrence Livermore National Laboratory; R. Klein (rklein .at. astron.berkeley.edu), Lawrence Livermore National Laboratory & U.C. Berkeley; J. Tannahill…
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540 instances - 21 features - 2 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
Abstract: MADELON is an artificial dataset, which was part of the NIPS 2003 feature selection challenge. This is a two-class classification problem with continuous input variables. The difficulty is…
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2600 instances - 501 features - 2 classes - 0 missing values
Data from the Kaggle Bioresponse challenge: https://www.kaggle.com/c/bioresponse The objective of the competition is to help us build as good a model as possible so that we can, as optimally as this…
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3751 instances - 1777 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
QSAR biodegradation Data Set * Abstract: Data set containing values for 41 attributes (molecular descriptors) used to classify 1055 chemicals into 2 classes (ready and not ready biodegradable). *…
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1055 instances - 42 features - 2 classes - 0 missing values