OpenML
Filter results by:
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…
0 runs0 likes0 downloads0 reach9 impact
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.…
0 runs0 likes0 downloads0 reach9 impact
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…
0 runs0 likes0 downloads0 reach9 impact
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…
0 runs0 likes0 downloads0 reach8 impact
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…
0 runs0 likes0 downloads0 reach8 impact
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.…
0 runs0 likes0 downloads0 reach8 impact
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.…
0 runs0 likes0 downloads0 reach9 impact
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…
0 runs0 likes0 downloads0 reach8 impact
308 instances - 7 features - 0 classes - 0 missing values
sdwd dede
0 runs0 likes0 downloads0 reach7 impact
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…
0 runs0 likes0 downloads0 reach8 impact
200000 instances - 202 features - 2 classes - 0 missing values
this is titanic survival prediction
0 runs0 likes3 downloads3 reach7 impact
891 instances - 8 features - 0 classes - 0 missing values
titanic surviual prediction
0 runs0 likes3 downloads3 reach7 impact
891 instances - 8 features - 0 classes - 0 missing values
titanic surviual prediction
0 runs0 likes1 downloads1 reach8 impact
891 instances - 8 features - 0 classes - 0 missing values
titanic surviual prediction
0 runs0 likes0 downloads0 reach7 impact
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…
0 runs0 likes0 downloads0 reach8 impact
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…
0 runs0 likes0 downloads0 reach8 impact
392 instances - 6 features - 0 classes - 0 missing values
titanic surviual prediction
0 runs0 likes0 downloads0 reach7 impact
891 instances - 8 features - classes - 0 missing values
titanic surviual prediction
0 runs0 likes0 downloads0 reach7 impact
891 instances - 8 features - classes - 0 missing values
titanic surviual prediction
6 runs0 likes0 downloads0 reach8 impact
891 instances - 8 features - classes - 0 missing values
titanic surviual prediction
0 runs0 likes2 downloads2 reach7 impact
891 instances - 8 features - 0 classes - 0 missing values
titanic surviual prediction
0 runs0 likes1 downloads1 reach7 impact
891 instances - 8 features - 0 classes - 0 missing values
r fgtgt
0 runs0 likes1 downloads1 reach7 impact
2 instances - 8 features - classes - 0 missing values
swd cdef
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
sxd cde
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
xscdc frfgrg
0 runs0 likes0 downloads0 reach7 impact
3 instances - 1 features - classes - 0 missing values
wded def
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
sds dcdcc
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
Download test
0 runs0 likes0 downloads0 reach7 impact
3 instances - 2 features - classes - 0 missing values
xsxs cdf
0 runs0 likes0 downloads0 reach7 impact
6 instances - 2 features - classes - 0 missing values
Uploead test
0 runs0 likes0 downloads0 reach8 impact
958 instances - 10 features - classes - 0 missing values
ddfef fvdf
0 runs0 likes0 downloads0 reach7 impact
8 instances - 1 features - classes - 0 missing values
wdwd cd
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
efef fdfef
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
zaxa xcdc
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
dedfef
0 runs0 likes0 downloads0 reach7 impact
2 instances - 1 features - classes - 0 missing values
scs
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
wdede
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
wdwd
0 runs0 likes0 downloads0 reach7 impact
2 instances - 1 features - classes - 0 missing values
qsqs
0 runs0 likes0 downloads0 reach7 impact
2 instances - 1 features - classes - 0 missing values
swdw
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
werr
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
ssf
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
swd
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
ddef
0 runs0 likes0 downloads0 reach7 impact
2 instances - 2 features - classes - 0 missing values
testing temperature and ph
0 runs0 likes0 downloads0 reach5 impact
26 instances - 8 features - classes - 0 missing values
This data is used to test water contamination
0 runs0 likes0 downloads0 reach9 impact
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
0 runs0 likes0 downloads0 reach4 impact
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
0 runs0 likes0 downloads0 reach2 impact
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…
0 runs0 likes0 downloads0 reach4 impact
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.
0 runs0 likes0 downloads0 reach2 impact
16000 instances - 4 features - classes - 0 missing values
This is the same data as version 5 (OpenML ID = 1220) with '_id' features coded as nominal factor variables.
0 runs0 likes0 downloads0 reach1 impact
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…
0 runs0 likes0 downloads0 reach1 impact
425833 instances - 45 features - 0 classes - 1299988 missing values
Payments given by healthcare manufacturing companies to medical doctors or hospitals
0 runs0 likes0 downloads0 reach0 impact
73558 instances - 6 features - 2 classes - 83182 missing values
Data reported to the police about the circumstances of personal injury road accidents in Great Britain from 1979, and the maker and model information of vehicles involved in the respective accident
0 runs0 likes2 downloads2 reach0 impact
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 likes2 downloads2 reach14 impact
1000 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
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 likes2 downloads2 reach14 impact
1000 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 likes1 downloads1 reach13 impact
1000 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 likes1 downloads1 reach13 impact
1000 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 likes1 downloads1 reach13 impact
1000 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
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 likes2 downloads2 reach13 impact
1000 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 likes1 downloads1 reach13 impact
1000 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 likes1 downloads1 reach13 impact
1000 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 likes1 downloads1 reach13 impact
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 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 likes1 downloads1 reach13 impact
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 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 likes1 downloads1 reach13 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…
0 runs0 likes1 downloads1 reach14 impact
1000 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
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
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
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
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
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 likes1 downloads1 reach13 impact
1000 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
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 likes1 downloads1 reach13 impact
1000 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 likes1 downloads1 reach13 impact
1000 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 - 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
100 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…
21 runs0 likes0 downloads0 reach14 impact
100 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
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 reach14 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
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
500 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 - 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 likes1 downloads1 reach13 impact
1000 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
1000 instances - 6 features - 0 classes - 0 missing values