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Small dataset with time series of RAM prices over the years.
0 runs1 likes5 downloads6 reach11 impact
333 instances - 3 features - 0 classes - 0 missing values
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…
0 runs0 likes0 downloads0 reach12 impact
756 instances - 754 features - 0 classes - 0 missing values
The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on…
0 runs0 likes2 downloads2 reach8 impact
163065 instances - 12 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach8 impact
5000 instances - 3 features - 0 classes - 0 missing values
Public procurement data for the European Economic Area, Switzerland, and the Macedonia. 2015
0 runs0 likes1 downloads1 reach8 impact
565163 instances - 75 features - 0 classes - 15247061 missing values
Anonymized data of dating profiles from OkCupid
0 runs0 likes3 downloads3 reach8 impact
59946 instances - 31 features - 0 classes - 273249 missing values
The Inpatient Utilization and Payment Public Use File (Inpatient PUF) provides information on inpatient discharges for Medicare fee-for-service beneficiaries. The Inpatient PUF includes information on…
0 runs1 likes1 downloads2 reach8 impact
163065 instances - 12 features - 0 classes - 0 missing values
Regroups information for about 7800 different US colleges. Including geographical information, stats about the population attending and post graduation career earnings.
0 runs0 likes1 downloads1 reach9 impact
7063 instances - 50 features - 0 classes - 125494 missing values
This dataset reflects incidents of crime in the City of Los Angeles dating back to 2010. This data is transcribed from original crime reports that are typed on paper and therefore there may be some…
0 runs0 likes0 downloads0 reach8 impact
1468825 instances - 26 features - 0 classes - 7881776 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach8 impact
5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach8 impact
5000 instances - 3 features - 0 classes - 0 missing values
Synthetic 2-d data with N=5000 vectors and k=15 Gaussian clusters with different degree of cluster overlap P. Fränti and O. Virmajoki, "Iterative shrinking method for clustering…
0 runs0 likes0 downloads0 reach8 impact
5000 instances - 3 features - 0 classes - 0 missing values
Zurich public transport delay data 2016-10-30 03:30:00 CET - 2016-11-27 01:20:00 CET cleaned and prepared at Open Data Day 2017.
0 runs0 likes2 downloads2 reach12 impact
5465575 instances - 15 features - 0 classes - 132617 missing values
This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was…
0 runs0 likes0 downloads0 reach8 impact
649 instances - 33 features - 0 classes - 0 missing values
This data approach student achievement in secondary education of two Portuguese schools. The data attributes include student grades, demographic, social and school related features) and it was…
0 runs0 likes1 downloads1 reach8 impact
395 instances - 33 features - 0 classes - 0 missing values
The goal is to predict the Fare. Variable description: pclass: A proxy for socio-economic status (SES) 1st = Upper 2nd = Middle 3rd = Lower age: Age is fractional if less than 1. If the age is…
0 runs0 likes4 downloads4 reach11 impact
1307 instances - 8 features - 0 classes - 0 missing values
It has 3 attributes (ID, tweet, label ) 91299 tweets with non-sarcastic 39998 tweets and 51300 sarcastic tweets.
0 runs0 likes0 downloads0 reach9 impact
91298 instances - 2 features - 0 classes - 0 missing values
Historical Rainfall data of Bangladesh
0 runs0 likes0 downloads0 reach12 impact
16755 instances - 4 features - 0 classes - 0 missing values
Customer purchases on Black Friday
0 runs0 likes2 downloads2 reach12 impact
166821 instances - 10 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…
0 runs0 likes0 downloads0 reach13 impact
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…
0 runs0 likes0 downloads0 reach13 impact
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…
0 runs0 likes0 downloads0 reach13 impact
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…
0 runs0 likes0 downloads0 reach13 impact
442 instances - 11 features - 0 classes - 0 missing values
Test dataset
0 runs0 likes1 downloads1 reach14 impact
15547 instances - 61 features - 0 classes - 280 missing values
Test dataset
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15547 instances - 61 features - 0 classes - 280 missing values
Testing this plattform
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36203 instances - 18 features - 0 classes - 8971 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…
0 runs0 likes0 downloads0 reach9 impact
3668522 instances - 45 features - 0 classes - 0 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…
0 runs0 likes0 downloads0 reach8 impact
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…
0 runs0 likes0 downloads0 reach9 impact
581835 instances - 15 features - 0 classes - 0 missing values
Dataset sales
0 runs0 likes0 downloads0 reach11 impact
10738 instances - 15 features - 0 classes - 0 missing values
price col is int now. autoHorse dataset
15 runs0 likes0 downloads0 reach12 impact
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…
0 runs0 likes1 downloads1 reach9 impact
53940 instances - 10 features - 0 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
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…
0 runs0 likes0 downloads0 reach8 impact
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…
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
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
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
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 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
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
# 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
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
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
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
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 - 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 - 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
500 instances - 11 features - 0 classes - 0 missing values