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Source: C. Okan Sakar a, Gorkem Serbes b, Aysegul Gunduz c, Hunkar C. Tunc a, Hatice Nizam d, Betul Erdogdu Sakar e, Melih Tutuncu c, Tarkan Aydin a, M. Erdem Isenkul d, Hulya Apaydin c a Department…
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756 instances - 754 features - 0 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 "regression on categorical and numerical features"…
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55319 instances - 736 features - 0 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 "regression on both numerical and categorical…
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55319 instances - 736 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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22 instances - 629 features - 0 classes - 0 missing values
### Description ISOLET (Isolated Letter Speech Recognition) dataset was generated as follows: 150 subjects spoke the name of each letter of the alphabet twice. Hence, there are 52 training examples…
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7797 instances - 618 features - 26 classes - 0 missing values
Binarized version of the isolet dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
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600 instances - 618 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 "regression on numerical features" benchmark. Original…
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7797 instances - 614 features - 0 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 numerical features" benchmark.…
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7797 instances - 614 features - 26 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 numerical features" benchmark.…
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7797 instances - 614 features - 26 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 "regression on numerical features" benchmark. Original…
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7797 instances - 614 features - 26 classes - 0 missing values
Context Manufacturing process feature selection and categorization Content Abstract: Data from a semi-conductor manufacturing process Data Set Characteristics: Multivariate Number of Instances: 1567…
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1567 instances - 592 features - classes - 41951 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The river flow datasets concern the prediction of river network flows for 48 h in the future at…
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9125 instances - 584 features - classes - 356160 missing values
Human Activity Recognition (HAR) database built from the recordings of 30 subjects performing activities of daily living (ADL) while carrying a waist-mounted smartphone with embedded inertial sensors.…
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10299 instances - 562 features - 6 classes - 0 missing values
The collection consists of six data sets containing telemetry data of the Mars Express Spacecraft (MEX), a spacecraft orbiting Mars and operated by the European Space Agency. The data, in terms of…
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65952 instances - 518 features - classes - 331128 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…
101204 runs0 likes0 downloads0 reach0 impact
2600 instances - 501 features - 2 classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 features - classes - 0 missing values
bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-verylarge.html#pigs) - Number of nodes: 441 - Number of arcs: 592 - Number of parameters: 5618 -…
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5000 instances - 441 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 numerical features" benchmark.…
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3434 instances - 420 features - 0 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 numerical features" benchmark.…
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3434 instances - 420 features - 2 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Airline Ticket Price dataset concerns the prediction of airline ticket prices. The rows are a…
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337 instances - 417 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Airline Ticket Price dataset concerns the prediction of airline ticket prices. The rows are a…
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296 instances - 417 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Airline Ticket Price dataset concerns the prediction of airline ticket prices. The rows are a…
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337 instances - 417 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Airline Ticket Price dataset concerns the prediction of airline ticket prices. The rows are a…
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296 instances - 417 features - classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : This is a pre-processed version of the dataset used in Kaggles Online Product Sales competition…
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639 instances - 413 features - classes - 10012 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
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
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
"The speech dataset was also provided by (see citation request) and contains real world data from recorded English language. The normal class contains data from persons having an American accent…
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3686 instances - 401 features - 2 classes - 0 missing values
The dataset consists of 384 features extracted from CT images. The class variable is numeric and denotes the relative location of the CT slice on the axial axis of the human body. The data was…
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53500 instances - 386 features - classes - 0 missing values
Since the first automobile, the Benz Patent Motor Car in 1886, Mercedes-Benz has stood for important automotive innovations. These include, for example, the passenger safety cell with crumple zone,…
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4209 instances - 377 features - 0 classes - 0 missing values
Dataset KDD98 challenge: https://kdd.ics.uci.edu/databases/kddcup98/kddcup98.html The goal is to estimate the return from a direct mailing in order to maximize donation profits. This dataset…
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191260 instances - 479 features - 0 classes - 5587563 missing values
Dataset KDD98 challenge: https://kdd.ics.uci.edu/databases/kddcup98/kddcup98.html The goal is to estimate the return from a direct mailing in order to maximize donation profits. This dataset…
0 runs0 likes1 downloads1 reach9 impact
82318 instances - 478 features - 2 classes - 2399311 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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79 instances - 321 features - 0 classes - 0 missing values
Dataset title laLSVT Voice Rehabilitation Data Set Source: The dataset was created by Athanasios Tsanas (tsanasthanasis '@' gmail.com) of the University of Oxford. Abstract: 126 samples from 14…
162 runs0 likes0 downloads0 reach0 impact
126 instances - 311 features - 2 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs1 likes3 downloads4 reach18 impact
5832 instances - 309 features - 2 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#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 -…
0 runs0 likes0 downloads0 reach0 impact
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
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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64700 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
libSVM","AAD group #Dataset from the LIBSVM data repository.
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49749 instances - 301 features - 0 classes - 0 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Supply Chain Management datasets are derived from the Trading Agent Competition in Supply…
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9803 instances - 296 features - classes - 0 missing values
### Description Scene recognition dataset - It contains characteristics about images and their classes. The original dataset is a multi-label classification problem with 6 different labels: {Beach,…
90242 runs0 likes0 downloads0 reach0 impact
2407 instances - 300 features - 2 classes - 0 missing values
Multi-label dataset. The scene dataset is an image classification task where labels like Beach, Mountain, Field, Urban are assigned to each image.
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2407 instances - 300 features - classes - 0 missing values
Multi-label dataset. The scene dataset is an image classification task where labels like Beach, Mountain, Field, Urban are assigned to each image.
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2407 instances - 300 features - 2 classes - 0 missing values
Multi-label dataset. The scene dataset is an image classification task where labels like Beach, Mountain, Field, Urban are assigned to each image.
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2407 instances - 300 features - 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…
8 runs0 likes0 downloads0 reach0 impact
8885 instances - 267 features - 0 classes - 0 missing values
The goal of this challenge is to expose the research community to real world datasets of interest to 4Paradigm. All datasets are formatted in a uniform way, though the type of data might differ. The…
1 runs0 likes0 downloads0 reach18 impact
3140 instances - 260 features - 2 classes - 0 missing values
Multi-label dataset. The birds dataset consists of 327 audio recordings of 12 different vocalizing bird species. Each sound can be assigned to various bird species.
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645 instances - 279 features - classes - 0 missing values
Multi-label dataset. The birds dataset consists of 327 audio recordings of 12 different vocalizing bird species. Each sound can be assigned to various bird species.
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645 instances - 279 features - 2 classes - 0 missing values
Tattile Via Gaetano Donizetti, 1-3-5,25030 Mairano (Brescia), Italy. ### Dataset Description Semeion Handwritten Digit Data Set, where 1593 handwritten digits from around 80 persons were scanned and…
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1593 instances - 257 features - 10 classes - 0 missing values
The dataset and this description is made available on http://www-stat.stanford.edu/~tibs/ElemStatLearn/data.html. Normalized handwritten digits, automatically scanned from envelopes by the U.S. Postal…
57 runs0 likes1 downloads1 reach11 impact
9298 instances - 257 features - 10 classes - 0 missing values
The German Traffic Sign Benchmark is a multi-class, single-image classification challenge held at the International Joint Conference on Neural Networks (IJCNN) 2011. We cordially invite researchers…
1 runs0 likes1 downloads1 reach11 impact
51839 instances - 257 features - 43 classes - 0 missing values
Binarized version of the USPS dataset (see version 2). Only instances with class labels 6 and 9 from the original dataset are considered and encoded as 0 (original class 6) and 1 (original class 9).
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1424 instances - 257 features - 2 classes - 0 missing values
Binarized version of the semeion dataset (see version 1). Only instances with class labels 1 and 2 from the original dataset are considered.
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319 instances - 257 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 "regression on both numerical and categorical…
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8885 instances - 256 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…
3 runs0 likes0 downloads0 reach0 impact
8885 instances - 252 features - 0 classes - 0 missing values
Bleichenbacher Padding Attack: Dataset created on 2023-12-13 with server netscalergcm Attribute Names: TLS0:tcp.srcport TLS0:tcp.dstport TLS0:tcp.port TLS0:tcp.stream TLS0:tcp.len TLS0:tcp.seq…
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7678 instances - 253 features - 11 classes - 1195562 missing values
Bleichenbacher Padding Attack: Dataset created on 2023-12-04 with server cisco Attribute Names: CCS0:tcp.srcport CCS0:tcp.dstport CCS0:tcp.port CCS0:tcp.stream CCS0:tcp.len CCS0:tcp.seq…
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7714 instances - 253 features - 11 classes - 1157656 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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2000 instances - 250 features - classes - 0 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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2000 instances - 250 features - 2 classes - 0 missing values
Multi-label dataset. A subset of the reuters dataset includes 2000 observations for text classification.
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2000 instances - 250 features - classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. The maps were scanned in 8 bit grey value at density of 400dpi,…
11351 runs0 likes0 downloads0 reach0 impact
2000 instances - 241 features - 10 classes - 0 missing values
2nd Place Lightgbm Solution of Kaggle Porto Seguro’s Safe Driver Prediction
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595212 instances - 224 features - 0 classes - 0 missing values
Data contains the information of 9144 samples form 220 spectral bands. The classes represent land-use types: alfalfa, corn, grass, hay, oats, soybeans, trees, and wheat.
0 runs0 likes2 downloads2 reach11 impact
9144 instances - 221 features - 8 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…
766 runs0 likes0 downloads0 reach0 impact
2000 instances - 217 features - 2 classes - 0 missing values
One of a set of 6 datasets describing features of handwritten numerals (0 - 9) extracted from a collection of Dutch utility maps. Corresponding patterns in different datasets correspond to the same…
37793 runs0 likes18 downloads18 reach17 impact
2000 instances - 217 features - 10 classes - 0 missing values
The aim is to determine the type of arrhythmia from the ECG recordings. This database contains 279 attributes, 206 of which are linear valued and the rest are nominal. Concerning the study of H. Altay…
4473 runs0 likes50 downloads50 reach16 impact
452 instances - 280 features - 13 classes - 408 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…
736 runs0 likes0 downloads0 reach0 impact
452 instances - 280 features - 2 classes - 408 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…
0 runs0 likes0 downloads0 reach0 impact
4450 instances - 203 features - 0 classes - 0 missing values