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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 - 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
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
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
Premier league matches from 2008 to 2014 with TDA features extracted.
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2565 instances - 20 features - classes - 0 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
test001
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768 instances - 9 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
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
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
mki
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8 instances - 2 features - 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…
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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 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
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
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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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
Electrical-Maintenance data set This problem consists of four input variables and the available data set is comprised of a representative number of well distributed examples. In this case, the…
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1056 instances - 5 features - 0 classes - 0 missing values
Forest Fires Data Set This is a difficult regression task, where the aim is to predict the burned area of forest fires, in the northeast region of Portugal, by using meteorological and other data.…
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517 instances - 13 features - 0 classes - 0 missing values
This data set was originally a univariate time record of a single observed quantity, recorded from a Far-Infrared-Laser in a chaotic state. The original set 1000 points has been adapted for regression…
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993 instances - 5 features - 0 classes - 0 missing values
``**Author**: Cigdem Inan Aci","Mehmet Fatih Akay ### Data Set Information All simulations have done under the software named OPNET Modeler. Message passing is used as the communication mechanism in…
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640 instances - 10 features - classes - 0 missing values
Dataset includes construction cost, sale prices, project variables, and economic variables corresponding to real estate single-family residential apartments in Tehran, Iran. Totally 105: 8 project…
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372 instances - 109 features - 0 classes - 0 missing values
This file contains the weather information of Ankara from 01/01/1994 to 28/05/1998. From given features, the goal is to predict the mean temperature. 1. Max_temperature real [23.0, 100.0] 2.…
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321 instances - 10 features - 0 classes - 0 missing values
This file contains the weather information of Izmir from 01/01/1994 to 31/12/1997. From given features, the goal is to predict the mean temperature. 1. Max_temperature real[36.7,105.0] 2.…
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1461 instances - 10 features - 0 classes - 0 missing values
Prediction of residuary resistance of sailing yachts at the initial design stage is of a great value for evaluating the ship’s performance and for estimating the required propulsive…
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308 instances - 7 features - 0 classes - 0 missing values
sdwd dede
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44 instances - 2 features - 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
titanic surviual prediction
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891 instances - 8 features - classes - 0 missing values
Conventional and Social Media Movies (CSM) - Dataset 2014 and 2015 Data Set 12 features categorized as conventional and social media features. Both conventional features, collected from movies…
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231 instances - 13 features - classes - 46 missing values
Auto MPG (6 variables) dataset The data concerns city-cycle fuel consumption in miles per gallon (Mpg), to be predicted in terms of 1 multivalued discrete and 5 continuous attributes (two multivalued…
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392 instances - 6 features - 0 classes - 0 missing values
titanic surviual prediction
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891 instances - 8 features - classes - 0 missing values
titanic surviual prediction
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891 instances - 8 features - classes - 0 missing values
titanic surviual prediction
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891 instances - 8 features - classes - 0 missing values
swd cdef
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3 instances - 2 features - classes - 0 missing values
sxd cde
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3 instances - 2 features - classes - 0 missing values
xscdc frfgrg
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3 instances - 1 features - classes - 0 missing values
wded def
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3 instances - 2 features - classes - 0 missing values
sds dcdcc
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3 instances - 2 features - classes - 0 missing values
Download test
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3 instances - 2 features - classes - 0 missing values
xsxs cdf
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6 instances - 2 features - classes - 0 missing values
Uploead test
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958 instances - 10 features - classes - 0 missing values
ddfef fvdf
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8 instances - 1 features - classes - 0 missing values
wdwd cd
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2 instances - 2 features - classes - 0 missing values
efef fdfef
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2 instances - 2 features - classes - 0 missing values
zaxa xcdc
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2 instances - 2 features - classes - 0 missing values
dedfef
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2 instances - 1 features - classes - 0 missing values
scs
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2 instances - 2 features - classes - 0 missing values
wdede
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2 instances - 2 features - classes - 0 missing values
wdwd
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2 instances - 1 features - classes - 0 missing values
qsqs
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2 instances - 1 features - classes - 0 missing values
swdw
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2 instances - 2 features - classes - 0 missing values
werr
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2 instances - 2 features - classes - 0 missing values
ssf
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2 instances - 2 features - classes - 0 missing values
swd
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2 instances - 2 features - classes - 0 missing values
ddef
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2 instances - 2 features - classes - 0 missing values
Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions or rock-burst. To provide protection for people…
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9199930 instances - 34 features - classes - 0 missing values
testing temperature and ph
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26 instances - 8 features - classes - 0 missing values
This data is used to test water contamination
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26 instances - 8 features - classes - 0 missing values
AutoML challenge 2014. Original task: regression. Test and validation sets can be obtained on the Cha Learn website: https://automl.chalearn.org/data
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400000 instances - 101 features - 0 classes - 0 missing values
AutoML challenge 2014. Original task: regression. Test and validation sets can be obtained on the Cha Learn website: https://automl.chalearn.org/data
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99 instances - 200001 features - 0 classes - 0 missing values
% Title: Flora % Source: https://automl.chalearn.org/data % % Dataset from the first ChaLearn AutoML challenge (2014). % Only the training data is included, as there were no labels for validation and…
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15000 instances - 200001 features - 0 classes - 0 missing values
A subset of the 3D dataset from Princeton\'s COS 429 Computer Vision course. The dataset consists of 40 models organised into 4 classes of 10 objects each.
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16000 instances - 4 features - classes - 0 missing values
Incident reports from the San Franciso Police Department between January 2003 and May 2018, provided by the City and County of San Francisco. The dataset was downloaded on 05.11.2018. from…
0 runs1 likes0 downloads1 reach0 impact
2215023 instances - 9 features - 2 classes - 0 missing values
This is the same data as version 5 (OpenML ID = 1220) with '_id' features coded as nominal factor variables.
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39948 instances - 12 features - 2 classes - 0 missing values
User profile data for San Francisco OkCupid users published in [Kim, A. Y., & Escobedo-Land, A. (2015). OKCupid data for introductory statistics and data science courses. Journal of Statistics…
0 runs0 likes0 downloads0 reach1 impact
50789 instances - 20 features - 3 classes - 154107 missing values
# Achieved Frames per Second (FPS) in video games This dataset contains FPS measurement of video games executed on computers. Each row of the dataset describes the outcome of FPS measurement (outcome…
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425833 instances - 45 features - 0 classes - 1299988 missing values
Payments given by healthcare manufacturing companies to medical doctors or hospitals
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73558 instances - 6 features - 2 classes - 83182 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 reach13 impact
100 instances - 11 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 reach13 impact
100 instances - 51 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 reach13 impact
100 instances - 11 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 reach13 impact
500 instances - 11 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 reach13 impact
250 instances - 26 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 reach14 impact
500 instances - 101 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 reach13 impact
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 reach13 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 reach13 impact
250 instances - 26 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 reach13 impact
250 instances - 11 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 reach13 impact
500 instances - 51 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 reach13 impact
250 instances - 51 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 reach13 impact
500 instances - 26 features - 0 classes - 0 missing values