Introduction This dataset is part of my PhD research on malware detection and classification using Deep Learning. It contains static analysis data (PE Section Headers of the .text, .code and CODE…
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43293 instances - 5 features - classes - 0 missing values
Context The file contains over 11,000 tweets associated with disaster keywords like crash, quarantine, and bush fires as well as the location and keyword itself. The data structure was inherited from…
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11370 instances - 5 features - classes - 3535 missing values
Context The dataset belongs to "The Bread Basket" a bakery located in Edinburgh. The dataset has 20507 entries, over 9000 transactions, and 4 columns. Content The dataset has transactions of customers…
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20507 instances - 5 features - classes - 0 missing values
The Three Gorges Dam is a hydroelectric gravity dam on the Yangtze River, near the city of Yichang, Hubei province, China. It has total water storage capacity of 39.3 billion cubic metres. It is…
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3667 instances - 5 features - classes - 525 missing values
Dutch News Articles This dataset contains all the articles published by the NOS as of the 1st of January 2010. The data is obtained by scraping the NOS website. The NOS is one of the biggest (online)…
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237861 instances - 5 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 "regression on categorical and numerical features"…
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8641 instances - 5 features - 0 classes - 0 missing values
Context In the last few years, Twitter became one of the most popular social media platforms. From celebrity status to government policies, Twitter can accommodate a diverse range of people and…
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31115 instances - 5 features - classes - 456 missing values
Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images…
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1372 instances - 5 features - 0 classes - 0 missing values
Context Candy Crush Saga is a hit mobile game developed by King (part of ActivisionBlizzard) that is played by millions of people all around the world. The game is structured as a series of levels…
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16865 instances - 5 features - 0 classes - 0 missing values
Context The BSE SENSEX (also known as the SP Bombay Stock Exchange Sensitive Index or simply the SENSEX) is a free-float market-weighted stock market index of 30 well-established and financially sound…
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1401 instances - 5 features - classes - 1401 missing values
Latitude - lat Longitude - lon Flood Height - flood_height 0 - No flood 1 - Ankle High 2 - Knee High 3 - Waist High 4 - Neck High 5 - Top of Head High 6 - 1-storey High 7 - 1.5-storey High 8 -…
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3510 instances - 5 features - classes - 0 missing values
Mammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy resulting from mammogram interpretation leads to…
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961 instances - 5 features - 2 classes - 160 missing values
M3-Competition for time series forecasting, yearly data. From original source: ----- The 3003 series of the M3-Competition were selected on a quota basis to include various types of time series data…
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18319 instances - 5 features - classes - 0 missing values
M3-Competition for time series forecasting, quarterly data From original source: ----- The 3003 series of the M3-Competition were selected on a quota basis to include various types of time series data…
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37004 instances - 5 features - classes - 0 missing values
M3-Competition for time series forecasting, monthly data. From original source: ----- The 3003 series of the M3-Competition were selected on a quota basis to include various types of time series data…
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167562 instances - 5 features - classes - 0 missing values
Australian Electricity Demand forecasting data, half-hourly data. From original source: ----- This dataset contains 5 time series representing the half hourly electricity demand of 5 states in…
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1155264 instances - 5 features - classes - 0 missing values
Dataset bladder0 from R package 'frailtyHL'
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397 instances - 5 features - 0 classes - 0 missing values
M4-Competition for time series forecasting, yearly data From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated the…
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858458 instances - 5 features - classes - 0 missing values
M4-Competition for time series forecasting, quarterly data. From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated…
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2406108 instances - 5 features - classes - 0 missing values
M4-Competition for time series forecasting, monthly data. From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated the…
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11246411 instances - 5 features - classes - 0 missing values
M4-Competition for time series forecasting, weekly data. From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated the…
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371579 instances - 5 features - classes - 0 missing values
M4-Competition for time series forecasting, daily data. From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated the…
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10023836 instances - 5 features - classes - 0 missing values
M4-Competition for time series forecasting, hourly data. From original source: ----- The fourth competition, M4, started on 1 January 2018 and ended in 31 May 2018. The M4 extended and replicated the…
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373372 instances - 5 features - classes - 0 missing values
Description: The `olist_customers_dataset.csv` offers a comprehensive snapshot of customer details from the Olist e-commerce platform. This dataset encapsulates essential customer information,…
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99441 instances - 5 features - classes - 0 missing values
Dataset e1684 from R package 'smcure'
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284 instances - 5 features - 0 classes - 0 missing values
Dataset nwtco from R package 'survival'
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4028 instances - 5 features - 0 classes - 0 missing values
Dataset rdata from R package 'relsurv'
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1040 instances - 5 features - 0 classes - 0 missing values
Dataset kidtran from R package 'KMsurv'
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863 instances - 5 features - 0 classes - 0 missing values
daily pickup data for 329 FHV companies from January 2015 through August 2015. From original source: ----- There is also a file other-FHV-data-jan-aug-2015.csv containing daily pickup data for 329 FHV…
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29826 instances - 5 features - classes - 9276 missing values
From original source: ----- Data was from a simulation of a servo system Additional Information Ross Quinlan: This data was given to me by Karl Ulrich at MIT in 1986. I didn't record his description…
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167 instances - 5 features - 0 classes - 0 missing values
a
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150 instances - 5 features - 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
Myocardial infarction complications Database
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30 instances - 5 features - 0 classes - 0 missing values
Myocardial infarction complications Database
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30 instances - 5 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…
2 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…
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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
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
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…
1 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…
1 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
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…
1 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…
1 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…
1 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…
1 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…
1 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…
2 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…
1 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
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…
1 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…
1 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…
1 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…
1 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…
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14 instances - 5 features - 2 classes - 0 missing values
Hayes-Roth Database This is a merged version of the separate train and test set which are usually distributed. On OpenML this train-test split can be found as one of the possible tasks. Source…
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160 instances - 5 features - 3 classes - 0 missing values
Rules and Regulations for city of Castle Pines
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688 instances - 5 features - classes - 102 missing values
parity5-pmlb
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32 instances - 6 features - 2 classes - 0 missing values
new-thyroid-pmlb
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215 instances - 6 features - 3 classes - 0 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…
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4839 instances - 6 features - 2 classes - 0 missing values
Sampled http://www.openml.org/d/5889
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761940 instances - 6 features - classes - 0 missing values
Another sample of COMET_MC
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89640 instances - 6 features - 0 classes - 0 missing values
And another sample. (v. 2 without OpenML metainfo)
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89640 instances - 6 features - classes - 0 missing values
Sample with OpenML metadata.
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761940 instances - 6 features - 0 classes - 0 missing values
simple engine data
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383 instances - 6 features - 3 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
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7619400 instances - 6 features - 0 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
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7619400 instances - 6 features - 0 classes - 0 missing values
## Guess which points belong to signal track [COMET](http://comet.kek.jp/Introduction.html) is an experiment being constructed at the J-PARC proton beam laboratory in Japan. It will search for…
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7619400 instances - 6 features - 0 classes - 0 missing values
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% This is a PROMISE Software Engineering Repository data set made publicly available in order to encourage repeatable,…
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15545 instances - 6 features - 2 classes - 0 missing values
17x17x2x2 tables of counts in GLIM-ready format used for the analyses in Biblarz, Timothy J., and Adrian E. Raftery. 1993. "The Effects of Family Disruption on Social Mobility." American Sociological…
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1156 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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250 instances - 6 features - 0 classes - 0 missing values
analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…
2 runs0 likes0 downloads0 reach0 impact
163 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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100 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach0 impact
250 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach0 impact
500 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
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1000 instances - 6 features - 0 classes - 0 missing values
The Friedman datasets are 80 artificially generated datasets originating from: J.H. Friedman (1999). Stochastic Gradient Boosting The dataset names are coded as…
0 runs0 likes0 downloads0 reach0 impact
250 instances - 6 features - 0 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
594 runs0 likes0 downloads0 reach0 impact
1000 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
822 runs0 likes0 downloads0 reach0 impact
250 instances - 6 features - 2 classes - 0 missing values
This S dump contains 22 data sets from the book Visualizing Data published by Hobart Press (books@hobart.com). The dump was created by data.dump() and can be read back into S by data.restore(). The…
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73 instances - 6 features - 0 classes - 0 missing values
This file contains data from Regression Analysis By Example, 2nd Edition, by Samprit Chatterjee and Bertram Price, John Wiley, 1991. Data sets have names of the form 'rabe.xxx' where xxx is the page…
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66 instances - 6 features - 0 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
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163 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
777 runs0 likes0 downloads0 reach0 impact
500 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1136 runs0 likes0 downloads0 reach0 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
708 runs0 likes0 downloads0 reach0 impact
62 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
1111 runs0 likes0 downloads0 reach0 impact
100 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
854 runs0 likes0 downloads0 reach0 impact
250 instances - 6 features - 2 classes - 0 missing values
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a…
853 runs0 likes0 downloads0 reach0 impact
250 instances - 6 features - 2 classes - 0 missing values