OpenML
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Domain dataset
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1637 instances - 9839 features - 3 classes - 13231887 missing values
Data set shows information about participants of math conference. isPresent is target column for classification task.
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246 instances - 7 features - 2 classes - 0 missing values
Historical Rainfall data of Bangladesh
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16755 instances - 4 features - 0 classes - 0 missing values
Customer purchases on Black Friday
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166821 instances - 10 features - 0 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 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…
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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…
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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…
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442 instances - 11 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
Test dataset
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15547 instances - 61 features - 0 classes - 280 missing values
Test dataset
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15547 instances - 61 features - 0 classes - 280 missing values
Test dataset
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15547 instances - 61 features - 2 classes - 280 missing values
Multivariate regression data set from: https://link.springer.com/article/10.1007%2Fs10994-016-5546-z : The Water Quality dataset (Dzeroski et al. 2000) has 14 target attributes that refer to the…
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1060 instances - 30 features - classes - 0 missing values
The YouTube personality dataset consists of a collection of behavorial features, speech transcriptions, and personality impression scores for a set of 404 YouTube vloggers that explicitly show…
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404 instances - 31 features - classes - 0 missing values
This dataset contains 358 lyrics of songs for the rock bands 'The Rolling Stones' and 'Deep Purple'. The bands are equally represented in the dataset (179 songs for each band). This dataset was…
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358 instances - 2 features - 2 classes - 0 missing values
Testing this plattform
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36203 instances - 18 features - 0 classes - 8971 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
The BoT-IoT dataset was created by designing a realistic network environment in the Cyber Range Lab of The center of UNSW Canberra Cyber. The environment incorporates a combination of normal and…
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3668522 instances - 45 features - 0 classes - 0 missing values
Wine data gathered by https://www.kaggle.com/zynicideThe data was scraped from WineEnthusiast during the week of June 15th, 2017. The code for the scraper can be found at…
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150930 instances - 10 features - classes - 174477 missing values
Data are collected from Kickstarter Platform You'll find most useful data for project analysis. Columns are self explanatory except: usd_pledged: conversion in US dollars of the pledged column…
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331675 instances - 14 features - classes - 210 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
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1586614 instances - 13 features - 104 classes - 68148 missing values
https://www.kaggle.com/harlfoxem/ This dataset contains house sale prices for King County, which includes Seattle. It includes homes sold between May 2014 and May 2015. It contains 19 house features…
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21613 instances - 20 features - classes - 0 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
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1586614 instances - 13 features - 104 classes - 68148 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
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1586614 instances - 13 features - 104 classes - 68148 missing values
This dataset consists of beer reviews from Beeradvocate. The data span a period of more than 10 years, including all ~1.5 million reviews up to November 2011. Each review includes ratings in terms of…
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1586614 instances - 13 features - 104 classes - 68148 missing values
Employee remuneration and expenses (earning over 75,000CAD per year). This data set includes remuneration and expenses from employees earning over 75,000CAD per year. Attributes: NAME: Name of…
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iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
Daily air quality measurements in New York, May to September 1973. This data is taken from R.
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Daily air quality measurements in New York, May to September 1973. This data is taken from R.
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Daily air quality measurements in New York, May to September 1973. This data is taken from R.
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Daily air quality measurements in New York, May to September 1973. This data is taken from R.
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iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
0 runs0 likes0 downloads0 reach8 impact
150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - classes - 0 missing values
iris with ignored features Sepal.Width and Petal.Length
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150 instances - 5 features - 3 classes - 0 missing values
analysis of stocks
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245 instances - 15 features - classes - 0 missing values
This dataset is an artificial simulation of the Duffing system with random changes from the chaotic to the non-chaotic regime at different noise levels.
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2493200 instances - 26 features - classes - 0 missing values
punch sound
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221 instances - 1 features - classes - 0 missing values
Training dataset of the 'Porto Seguros Safe Driver Prediction' Kaggle challenge [https://www.kaggle.com/c/porto-seguro-safe-driver-prediction]. The goal was to predict whether a driver will file an…
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595212 instances - 38 features - 2 classes - 846458 missing values
Hourly particulate matter air polution data of Great Britain for the year 2017, provided by Ricardo Energy and Environment on behalf of the UK Department for Environment, Food and Rural Affairs…
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394299 instances - 10 features - 0 classes - 0 missing values
Trip Record Data provided by the New York City Taxi and Limousine Commission (TLC) [http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml]. The dataset includes TLC trips of the green line in…
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581835 instances - 15 features - 0 classes - 0 missing values
nominal features and target for COMPAS
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5278 instances - 14 features - 2 classes - 0 missing values
Original data from https://github.com/propublica/compas-analysis/ by ProPublica. The data was subsequently preprocessed and reduced to relevant features for classification. The target variable is…
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5278 instances - 14 features - 2 classes - 0 missing values
The dataset contains the premier league matches for the season 2014-2015.
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380 instances - 38 features - classes - 9 missing values
The dataset contains the serie a matches for season 2015-2016
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379 instances - 38 features - classes - 44 missing values
This dataset contains all the player names and player ids, taken from Sofifa
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11009 instances - 3 features - classes - 0 missing values
dataset for feature extraction
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69 instances - 37 features - 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
Dataset sales
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10738 instances - 15 features - 0 classes - 0 missing values
Test file for ML training
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1599 instances - 12 features - classes - 0 missing values
Iris DataSet
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150 instances - 5 features - 3 classes - 0 missing values
Premier league matches from 2008 to 2014 with TDA features extracted.
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2565 instances - 20 features - classes - 0 missing values
Asteroid Dataset
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126131 instances - 34 features - 2 classes - 99 missing values
Asteroid Dataset
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126131 instances - 34 features - 2 classes - 99 missing values
Test
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6330 instances - 8 features - classes - 0 missing values
good
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10 instances - 4 features - classes - 2 missing values
testing
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366 instances - 3 features - classes - 0 missing values
The proposed forecasting approach is tested by using the database from UCI machine learning repository. Using a Deep Learning Model Based on 1D Convnets and Bidirectional GRU
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43800 instances - 10 features - classes - 0 missing values
Fixed dataset for autoHorse.csv I suggest...
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201 instances - 69 features - 186 classes - 0 missing values
price col is int now. autoHorse dataset
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201 instances - 69 features - 0 classes - 0 missing values
This classic dataset contains the prices and other attributes of almost 54,000 diamonds. It's a great dataset for beginners learning to work with data analysis and visualization. Content price price…
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53940 instances - 10 features - 0 classes - 0 missing values
Embedding of atoms for HIV inhibitors dataser
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1069964 instances - 30 features - classes - 0 missing values
Embedding of molecules bonds in HIV inhibitors dataset
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1151940 instances - 30 features - classes - 0 missing values
iris-example
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150 instances - 5 features - 3 classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
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527 instances - 27 features - 4 classes - 0 missing values
microaggregation2_nominal
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20000 instances - 21 features - 5 classes - 0 missing values
Data
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539383 instances - 8 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 likes1 downloads1 reach8 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 reach8 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
asdasd
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140 instances - 4 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…
0 runs0 likes0 downloads0 reach8 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 reach8 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 reach8 impact
14 instances - 5 features - 2 classes - 0 missing values
source: An Algorithm Selection Benchmark for the Container Pre-Marshalling Problem (CPMP) authors: K. Tierney and Y. Malitsky (features) / K. Tierney and D. Pacino and S. Voss (algorithms) translator…
20 runs0 likes0 downloads0 reach10 impact
2108 instances - 27 features - 0 classes - 0 missing values
At Santander our mission is to help people and businesses prosper. We are always looking for ways to help our customers understand their financial health and identify which products and services might…
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200000 instances - 202 features - 2 classes - 0 missing values
Multiclass from binary: Expanding one-vs-all, one-vs-one and ECOC-based approaches. Dataset taken from LIBSVM: https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass.html In this dataset…
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108000 instances - 129 features - 1000 classes - 0 missing values
Test
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958 instances - 10 features - classes - 0 missing values
Test
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2 instances - 1 features - classes - 0 missing values
Electrical Length data set This problem with only two input variables involves a small search space (small complexity). However, it is still an interesting problem since the system is strongly…
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495 instances - 3 features - 0 classes - 0 missing values