OpenML
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bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#child) - Number of nodes: 20 - Number of arcs: 25 - Number of parameters: 230 - Average…
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5000 instances - 20 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#mildew) - Number of nodes: 35 - Number of arcs: 46 - Number of parameters: 540150 -…
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5000 instances - 35 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…
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5000 instances - 32 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#insurance) - Number of nodes: 27 - Number of arcs: 52 - Number of parameters: 1008 -…
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5000 instances - 27 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#link) - Number of nodes: 724 - Number of arcs: 1125 - Number of parameters: 14211 -…
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5000 instances - 724 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#diabetes) - Number of nodes: 413 - Number of arcs: 602 - Number of parameters: 429409…
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5000 instances - 413 features - 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…
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5000 instances - 41 features - 2 classes - 0 missing values
A synthetic dataset from Lauritzen and Spiegelhalter (1988) about lung diseases (tuberculosis, lung cancer or bronchitis) and visits to Asia. A data frame with 5000 rows and 8 binary variables: D…
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5000 instances - 8 features - classes - 0 missing values
Context This case is about a bank (Thera Bank) whose management wants to explore ways of converting its liability customers to personal loan customers (while retaining them as depositors). A campaign…
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5000 instances - 13 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#alarm) - Number of nodes: 37 - Number of arcs: 46 - Number of parameters: 509 - Average…
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5000 instances - 37 features - classes - 0 missing values
This dataset is composed of demographic data about 5000 people and their sushi preferences.
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5000 instances - 136 features - classes - 0 missing values
A dataset relating characteristics of telephony account features and usage and whether or not the customer churned. Originally used in [Discovering Knowledge in Data: An Introduction to Data…
7512 runs2 likes9 downloads11 reach26 impact
5000 instances - 21 features - 2 classes - 0 missing values
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
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4998 instances - 141 features - 0 classes - 0 missing values
The original dataset for 'ECG5000' is a 20-hour long ECG downloaded from Physionet. The name is BIDMC Congestive Heart Failure Database(chfdb) and it is record 'chf07'. It was originally published in…
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4998 instances - 141 features - 0 classes - 0 missing values
Context As you all know that, as per the observation of economists, according to the current trend, it seems that the yellow metal is performing better as an investment option in comparison to mutual…
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4971 instances - 6 features - classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on categorical and numerical features"…
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4970 instances - 13 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on categorical and numerical features"…
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4970 instances - 13 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on categorical and numerical features"…
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4970 instances - 13 features - 2 classes - 0 missing values
Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on both numerical and categorical…
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4966 instances - 12 features - 2 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
National Longitudinal Survey (Binarized) Survey results from the U.S. Bureau of Labor Statistics to gather information on the labour market activities and other life events of several groups. The…
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4908 instances - 17 features - 2 classes - 0 missing values
The data were collected from May/2004 to February/2007 using only protected designation of origin samples that were tested at the official certification entity (CVRVV). The CVRVV is an…
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4898 instances - 12 features - 0 classes - 0 missing values
Citation Request: This dataset is public available for research. The details are described in [Cortez et al., 2009]. Please include this citation if you plan to use this database: P. Cortez, A.…
64 runs2 likes6 downloads8 reach17 impact
4898 instances - 12 features - 7 classes - 0 missing values
Data shows the downlink goodput for unicast and multicast transmissions with different group sizes and network loads on an IEEE 802.11ac network simulated on NS-3. Different IEEE 802.11aa GATS are…
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4881 instances - 34 features - 0 classes - 691 missing values
__Changes w.r.t. version 1: renamed variables such that they match description.__ ### Dataset: Wilt Data Set ### Abstract: High-resolution Remote Sensing data set (Quickbird). Small number of training…
10966 runs0 likes2 downloads2 reach22 impact
4839 instances - 6 features - 2 classes - 0 missing values
Detailed movie descriptions - ideal for Recommendation Engines
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4803 instances - 11 features - classes - 514 missing values
## **Meta-Album Dogs Dataset (Mini)** Researchers from Stanford University created the original Dogs dataset (http://vision.stanford.edu/aditya86/ImageNetDogs/). It contains more than 20 000 images…
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4800 instances - 3 features - 120 classes - 4800 missing values
Context Minneapolis air quality survey results Content Contained in the file are Minneapolis air quality survey results obtained between November 2013 and August 2014. The data set was obtained from…
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4790 instances - 18 features - 0 classes - 2999 missing values
GameStop Corp. is an American video game, consumer electronics, and gaming merchandise retailer. GameStop's stocks have spiked in recent days since the Reddit group blew up the stock price. Now…
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4773 instances - 7 features - classes - 0 missing values
Data from https://doi.org/10.5281/zenodo.269636
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4758 instances - 39 features - classes - 0 missing values
ABOUT This dataset identifies areas within a city where drivers are experiencing difficulty searching for parking. Cities can use this data to identify problem areas, adjust signage, and more. Only…
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4750 instances - 31 features - classes - 1002 missing values
This dataset contains moonrise, moonset and lunar phase timings for every date from 2005 to 2017 for London, UK*; collected from timeanddate. Inspiration This data can be used to study the effects of…
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4748 instances - 8 features - classes - 13280 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
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4704 instances - 47 features - 3 classes - 0 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
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4704 instances - 47 features - 3 classes - 0 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
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4704 instances - 47 features - 3 classes - 0 missing values
### Description ### This dataset is part of a collection datasets based on the game "Jungle Chess" (a.k.a. Dou Shou Qi). For a description of the rules, please refer to the paper (link attached). The…
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4704 instances - 47 features - 3 classes - 0 missing values
Context Information about more than 4600 companies tradable on Robinhood website Source The information is scraped from Robinhood website Inspiration The dataset contains useful information about…
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4610 instances - 33 features - classes - 8696 missing values
SPAM E-mail Database The "spam" concept is diverse: advertisements for products/websites, make money fast schemes, chain letters, pornography... Our collection of spam e-mails came from our postmaster…
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4601 instances - 58 features - 2 classes - 0 missing values
SPAM E-mail Database The "spam" concept is diverse: advertisements for products/websites, make money fast schemes, chain letters, pornography... Our collection of spam e-mails came from our postmaster…
162017 runs0 likes0 downloads0 reach0 impact
4601 instances - 58 features - 2 classes - 0 missing values
Context Netflix is one of the Biggest companies that is present in today's time. It comes under the popular FAANG companies and a dream company for many. Everyone loves watch to watch movies and…
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4581 instances - 7 features - classes - 0 missing values
__Major change w.r.t. version 1: updated data type of binary variables to factor type.__ Dataset from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch), which…
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4562 instances - 49 features - classes - 0 missing values
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF…
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4562 instances - 15 features - 2 classes - 88 missing values
* Dataset: Reduced version (10 % of the examples) of bank-marketing dataset.
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4521 instances - 17 features - 2 classes - 0 missing values
Data for an stock long position
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4477 instances - 20 features - 0 classes - 0 missing values
According to Epsilon research, 80% of customers are more likely to do business with you if you provide personalized service. Banking is no exception. The digitalization of everyday lives means that…
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4459 instances - 4992 features - 0 classes - 0 missing values
This is one of 41 drug design datasets. The datasets with 1143 features are formed using Adriana.Code software (www.molecular-networks.com/software/adrianacode). The molecules and outputs are taken…
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4450 instances - 203 features - 0 classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 191, and it has 4442 rows and 1026 features (including…
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4442 instances - 1026 features - 0 classes - 0 missing values
source: http://www.cs.ubc.ca/labs/beta/Projects/SATzilla/ authors: L. Xu, F. Hutter, H. Hoos, K. Leyton-Brown translator in coseal format: M. Lindauer with the help of Alexandre Frechette the data do…
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4440 instances - 117 features - 0 classes - 27150 missing values
Author: Gregory Gay, Tim Menzies, Misty Davies, Karen Gundy-Burlet Source: [Zenodo](https://zenodo.org/record/322475) Please cite: Misty Davies. (2009). bike [Data set]. Zenodo. DOI:…
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4435 instances - 11 features - classes - 0 missing values
A Gold Standard of ~4,400 questions, answers, and comments from Stack Overflow, manually annotated for polarity. The dataset has been used for developing the EMTk toolkit for polarity detection from…
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4423 instances - 2 features - 3 classes - 0 missing values
A Gold Standard of ~4,400 questions, answers, and comments from Stack Overflow, manually annotated for polarity. The dataset has been used for developing the EMTk toolkit for polarity detection from…
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4423 instances - 2 features - 3 classes - 0 missing values
Context There's a story behind every dataset and here's your opportunity to share yours. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing…
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4392 instances - 7 features - classes - 0 missing values
This dataset contains QSAR data (from ChEMBL version 17) showing activity values (unit is pseudo-pCI50) of several compounds on drug target TID: 14037, and it has 4378 rows and 1026 features…
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4378 instances - 1026 features - 0 classes - 0 missing values