Context Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded…
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426880 instances - 25 features - classes - 1655336 missing values
Context Craigslist is the world's largest collection of used vehicles for sale, yet it's very difficult to collect all of them in the same place. I built a scraper for a school project and expanded…
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426880 instances - 25 features - classes - 1655336 missing values
Content This dataset is a record of 7 common different fish species in fish market sales. With this dataset, a predictive model can be performed using machine friendly data and estimate the weight of…
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159 instances - 7 features - 0 classes - 0 missing values
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using…
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1000000 instances - 15 features - 2 classes - 0 missing values
Context Though it doesn't rain often in Los Angeles, the city has various means of capturing rainfall to increase our local water supply. This dataset shows how much water we've capturing cumulatively…
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296 instances - 7 features - classes - 0 missing values
This is a historical data of HangSeng Futures Index based in Hong Kong. For non traders, the data is a time-series (sequential flow of numbers) describing the HangSeng Futures Index of HongKong. Every…
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87645 instances - 8 features - classes - 0 missing values
Context Inspired by the New York City Taxi Trip Duration playground I created a dataset using the publicly available data from this link). Citi Bike is a bike sharing service available in New York…
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4500000 instances - 8 features - classes - 0 missing values
Context This Dataset contains the value of the Bitcoin stock from 14th September 2014 till Date Content It is a very simple dataset to both explore and understand the columns are themselves…
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2401 instances - 7 features - classes - 24 missing values
Please refer to UCI's [citation policy](https://archive.ics.uci.edu/ml/citation_policy.html). Donor: Dr Roberto Lopez robertolopez '@' intelnics.com Intelnics Creators: Thomas F. Brooks, D. Stuart…
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1503 instances - 6 features - 0 classes - 0 missing values
Predict whether income exceeds $50K/yr based on census data. Also known as Census Income dataset. Train and test sets combined. Null values represented with question mark is replaced with na. 52…
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48790 instances - 15 features - 2 classes - 6456 missing values
Law School Admissions (Binarized) Survey among students attending law school in the U.S. in 1991. The dataset was obtained from the R-package fairml. The response variable has been changed to a binary…
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20800 instances - 12 features - 2 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 both numerical and categorical…
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1000000 instances - 6 features - 0 classes - 0 missing values
test
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48842 instances - 15 features - 2 classes - 6465 missing values
r fgtgt
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2 instances - 8 features - classes - 0 missing values
valores de saida de fardamento com temperaturas, admissões e demissões
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6277 instances - 7 features - 0 classes - 0 missing values
Context This is Alcohol Consumption in Russia (1998-2016) Dataset. It contains values of consumption for wine, beer, vodka, brandy and champagne. Content Dataset has 1615 rows and 7 columns. Keys for…
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1615 instances - 7 features - classes - 311 missing values
This dataset contains data about the physical and chemical properties of the Li-ion silicate cathodes. These properties can be useful to predict the class of a Li-ion battery. These batteries can be…
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339 instances - 11 features - classes - 0 missing values
Why 2017 to 2020? The BitCoin data is Limited to these 3 years because as everyone Knows: Dec 2017 was the time when BitCoin Prices Skyrocketed! Hence, this duration is Perfect for Predicting future…
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1097 instances - 7 features - classes - 0 missing values
This data was extracted from the 1994 Census bureau database by Ronny Kohavi and Barry Becker (Data Mining and Visualization, Silicon Graphics). A set of reasonably clean records was extracted using…
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32561 instances - 15 features - classes - 4262 missing values
Context We collect recent tweets of Donald Trump, the 45th President of United States of America. The data is collected using tweepy Python package to access Twitter API. Inspiration Study the…
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1984 instances - 16 features - classes - 1914 missing values
Context The Office is an American Mockumentary sitcom television series that depicts the everyday lives of office employees in the Scranton, Pennsylvania, branch of the fictional Dunder Mifflin Paper…
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188 instances - 12 features - 0 classes - 159 missing values
Content The SP BSE SENSEX (SP Bombay Stock Exchange Sensitive Index), also called the BSE 30 or simply the SENSEX, is a free-float market-weighted stock market index of 30 well-established and…
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73316 instances - 8 features - classes - 1500 missing values
data source https://br.financas.yahoo.com Content Petrleo Brasileiro S.A. - Petrobras (PETR4.SA), from May 19, 2014 to May 16, 2019 Sao Paulo - Sao Paulo Price Postponed. Currency in BRL.…
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1243 instances - 7 features - classes - 0 missing values
Context There's a story behind every dataset and here's your opportunity to share yours. Content What's inside is more than just rows and columns. Make it easy for others to get started by describing…
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4392 instances - 7 features - classes - 0 missing values
Context This dataset is created for the prediction of future New York Housing Price based on the past 17 years of record. Content Please check the details under the column description.…
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1600202 instances - 10 features - classes - 40496 missing values
Context Facebook is a company that literally every kid is aware of. Its a household name. People from various age groups are there on this social media website. It has helped many in connecting with…
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2076 instances - 7 features - classes - 0 missing values
Context Amazon has become a house hold name now and has been around for quite sometime. It comes under the popular FAANG companies and a dream company for many. Today almost anything that you need…
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5852 instances - 7 features - classes - 0 missing values
Context Using TA-Lib : Technical Analysis Library. Backtest on the SPY Index data, using support and resistance indicators or any other indicator. Content Data contains daily SPY Index: Date Open High…
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6126 instances - 7 features - classes - 0 missing values
Context Minneapolis air quality survey results Content Contained in the file are Minneapolis air quality survey results obtained between November 2013 and August 2014. The data set was obtained from…
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4790 instances - 18 features - 0 classes - 2999 missing values
Context The subject matter of this dataset explores Tesla's stock price from its initial public offering (IPO) to yesterday. Content Within the dataset one will encounter the following: The date -…
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1692 instances - 7 features - classes - 0 missing values
Context This works focuses upon creating a data set on Pandas Q/A over StackOverflow. Presently, there are more than 90k+ questions available on StackOverflow which have been asked under Pandas…
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87241 instances - 16 features - classes - 472864 missing values
Apple stock price of each work day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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348 instances - 6 features - 0 classes - 0 missing values
Interest and Motivation This dataset belongs to the MeToo movement on Twitter. This movement was against the sexual harassment incidents and many people posted various hatred tweets. Using this…
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807174 instances - 9 features - classes - 197782 missing values
Apple stock price in the first month of 2022
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22 instances - 6 features - 0 classes - 0 missing values
Apple stock price of each work day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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346 instances - 6 features - 0 classes - 0 missing values
Apple stock price of each trading day since January 1st 2021. Contains highest price, lowest price, open, close, volume and adjusted close
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347 instances - 6 features - 0 classes - 0 missing values
Apple stock price in the first month of 2022
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22 instances - 6 features - 0 classes - 0 missing values
This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data. This dataset is interesting because…
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690 instances - 16 features - 2 classes - 67 missing values
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 7 features - 3 classes - 0 missing values
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 7 features - 3 classes - 0 missing values
Subsampling of the dataset adult (1590) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
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2000 instances - 15 features - 2 classes - 242 missing values
Subsampling of the dataset adult (1590) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
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2000 instances - 15 features - 2 classes - 248 missing values
Subsampling of the dataset adult (1590) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
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2000 instances - 15 features - 2 classes - 279 missing values
Subsampling of the dataset adult (1590) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
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2000 instances - 15 features - 2 classes - 254 missing values
Subsampling of the dataset adult (1590) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self, seed:…
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2000 instances - 15 features - 2 classes - 253 missing values
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 7 features - 3 classes - 0 missing values
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 7 features - 3 classes - 0 missing values
Subsampling of the dataset jungle_chess_2pcs_raw_endgame_complete (41027) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code:…
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2000 instances - 7 features - 3 classes - 0 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
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…
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163065 instances - 12 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…
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163065 instances - 12 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…
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392 instances - 6 features - 0 classes - 0 missing values
test
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20058 instances - 16 features - classes - 0 missing values
data from yahoo finance
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1259 instances - 7 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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830 instances - 6 features - classes - 0 missing values
Context Intel Corporation designs, manufactures, and sells essential technologies for the cloud, smart, and connected devices worldwide. The company operates through DCG, IOTG, Mobileye, NSG, PSG,…
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10361 instances - 7 features - classes - 0 missing values
Context "In the Bechdel Cast, the question asked, do movies have women in them? Are all their discussions involve boyfriends or husbands or do they have individualism? The Patriarchy's vast. Let's…
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194 instances - 14 features - classes - 20 missing values
Context Crude oil price from Yahoo Finance as of 1 February 2021, 10:19PM EST. Market open. NY Mercantile - NY Mercantile Delayed Price. Currency in USD. Content Open: price at market opening High:…
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6274 instances - 7 features - classes - 7044 missing values
Context Train your project by getting weather data from Istanbul. Content You can find daily weather, rainfall, sunrise time, sunset time, moonrise time, sunset time, average wind speed, average…
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3896 instances - 12 features - classes - 263 missing values
Context Data Set with the football matches of the Spanish league of the 1st and 2nd division from the 1970-71 to 2016-17 season, has been created with the aim of opening a line of research in the…
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37147 instances - 10 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 numerical features" benchmark. Original…
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18063 instances - 6 features - 0 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 numerical features" benchmark. Original…
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18063 instances - 6 features - 0 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 numerical features" benchmark. Original…
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17379 instances - 7 features - 0 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
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898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
0 runs0 likes0 downloads0 reach0 impact
898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
0 runs0 likes0 downloads0 reach0 impact
898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
0 runs0 likes0 downloads0 reach0 impact
898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
0 runs0 likes0 downloads0 reach0 impact
898 instances - 39 features - 2 classes - 0 missing values
This is a preprocessed version of the anneal dataset (version 1). All missing values are treated as a nominal value with label '?'. (Quotes for clarity). Because this is not good…
0 runs0 likes0 downloads0 reach0 impact
898 instances - 39 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 101 features - 2 classes - 0 missing values
Subsampling of the dataset jasmine (41143) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def subsample( self,…
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2000 instances - 101 features - 2 classes - 0 missing values
The dataset contains information about departure delays of airlines from years 1987 - 2013. This is a subset of the 10M version (which is once again a subset of the original dataset). Unique carrier…
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1000000 instances - 12 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
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
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
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
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 likes0 downloads0 reach0 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 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
100 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…
745 runs0 likes0 downloads0 reach0 impact
3107 instances - 7 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…
856 runs0 likes0 downloads0 reach0 impact
209 instances - 7 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…
700 runs0 likes0 downloads0 reach0 impact
294 instances - 14 features - 2 classes - 782 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…
721 runs0 likes0 downloads0 reach0 impact
60 instances - 8 features - 2 classes - 0 missing values
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch) Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php Modified by TunedIT (converted to ARFF…
778 runs0 likes0 downloads0 reach0 impact
4562 instances - 15 features - 2 classes - 88 missing values
See [https://github.com/slds-lmu/paper_2023_ci_for_ge](https://github.com/slds-lmu/paper_2023_ci_for_ge) for a description.
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5100000 instances - 15 features - 2 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…
0 runs0 likes0 downloads0 reach0 impact
500 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…
714 runs0 likes4 downloads4 reach15 impact
303 instances - 14 features - 2 classes - 6 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…
800 runs0 likes0 downloads0 reach0 impact
209 instances - 8 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…
737 runs0 likes0 downloads0 reach0 impact
303 instances - 14 features - 2 classes - 6 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…
740 runs0 likes0 downloads0 reach0 impact
51 instances - 7 features - 2 classes - 0 missing values