#### Information A small classic dataset from Fisher, 1936. One of the earliest datasets used for the evaluation of classification methodologies. #### References * Fisher, R. A. (1936), The use of…

leak detection file

Context This dataset was collected by Neha Prerna Tigga and Dr. Shruti Garg of the Department of Computer Science and Engineering, BIT Mesra, Ranchi-835215 for research, non-commercial purposes only.…

ContextThisdatasetwascollectedbyNehaPrernaTiggaandDrShrutiGargoftheDepartmentofComputerScienceandEngineeringBITMesraRanchi835215forresearchnoncommercialpurposesonlyAnarticleisalsopublishedimplementingthisdatasetFormoreinformationandcitationofthisdatasetpleasereferTiggaNPGargS2020PredictionofType2DiabetesusingMachineLearningClassificationMethodsProcediaComputerScience167706716DOIhttpsdoiorg101016jprocs202003336ContentThereisatotalof952instanceswith17independentpredictorvariablesandonebinarytargetordependentvariableDiabetesAcknowledgementsWewouldliketothankalltheparticipantswhocontributedtowardsthebuildingofthisdatasetInspirationTobuildamachinelearningalgorithmtopredictifapersonhasdiabetesornot…

Description This is a countrywide weather events dataset that includes 6.3 million events, and covers 49 states of the United States. Examples of weather events are rain, snow, storm, and freezing…

Context Towards Data Science Inc. is a corporation registered in Canada as a platform for thousands of people to exchange ideas and to expand understanding of data science. This dataset contains data…

Context Japanese animation, which is known as anime, has become internationally widespread nowadays. This dataset provides data on anime taken from Anime News Network. Content This dataset consists of…

Context The data obtained from the Mexico's General Direction of Epidemiology contains multiple information on the current pandemic situation. However, these data are saturated with features that may…

Statistics on a Blockbreaker-like Game The author is in the process of creating a blockbreaker-like game, in which the jumping-off point is the "Block Breaker" section of the Udemy course, Complete C…

Context COVID19 is spreading across the globe and this data set help in analyzing to what extent the pandemic has affected different countries. Content This data set contains the total number of COVID…

Context Last time I built an LSTM price prediction for Corn, but the result is not satisfactory. I would like to try other algorithm and data. So I decided to use Wheat price for the exercise. And…

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…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

bnlearn Bayesian Network Repository reference: [URL](https://www.bnlearn.com/bnrepository/discrete-medium.html#water) - Number of nodes: 32 - Number of arcs: 66 - Number of parameters: 10083 - Average…

analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for…

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…

Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…

Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and…

Iris DataSet

This dataset contains a simulation of the Lorenz attractor with the parameter $\rho$ varying in time. The stable and chaotic regimes alternate.

iris with ignored features Sepal.Width and Petal.Length

Palmer Penguins Dataset The goal of palmerpenguins is to provide a great dataset for data exploration visualization, as an alternative to iris. About the data Data were collected and made available by…

Context New Zealand lies on a fault-line that runs through its spine. This fault line aka Alpine Fault is very active and forms a part of the "Ring of Fire". Content This is a list of all the earth…

Content This Dataset Contains informations about Netflix movies, and how the Netflix website and use it to give me recommendations about movies of the genre that I prefer. Here, I used Netflix's API…

This Dataset is something I found online when I wanted to practice regression models. It is an openly available online dataset at multiple places. Though I do not know the exact origin and collection…

Context The dataset provides user reviews on specific drugs along with related conditions, side effects, age, sex, and ratings reflecting overall patient satisfaction. Content Data was acquired by…

Context Winter Storm Uri in February 2021 caused havoc across the United States and specifically to Texas involving mass power outages, water and food shortages, and dangerous weather conditions. This…

Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…

This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for…

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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The Three Gorges Dam is a hydroelectric gravity dam on the Yangtze River, near the city of Yichang, Hubei province, China. It has total water storage capacity of 39.3 billion cubic metres. It is…

Author: Volker Lohweg (University of Applied Sciences, Ostwestfalen-Lippe) Source: [UCI](https://archive.ics.uci.edu/ml/datasets/banknote+authentication) - 2012 Please cite:…

test

Description: The Electric_Vehicle_Population_Data.csv dataset provides a comprehensive overview of the electric vehicle (EV) population within a specific region, highlighting key information about the…

Intra

Intra

Intra

Data taken from the Blood Transfusion Service Center in Hsin-Chu City in Taiwan -- this is a classification problem. To demonstrate the RFMTC marketing model (a modified version of RFM), this study…

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…

Airlines Dataset Inspired in the regression dataset from Elena Ikonomovska. The task is to predict whether a given flight will be delayed, given the information of the scheduled departure.

Description: The dataset games.csv is a comprehensive collection of chess game records, providing detailed insights into game outcomes, player ratings, moves, and opening strategies. It consists of…

analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…

Data file: This data from "Problem-Solving" on "backache in pregnancy" is in somewhat different format from that listed in the book. Each integer is preceded by a space. This makes it easier to read.…

PRO FOOTBALL SCORES (raw data appears after the description below) How well do the oddsmakers of Las Vegas predict the outcome of professional football games? Is there really a home field advantage -…

analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…

This dataset is synthetic. It was generated by David Coleman at RCA Laboratories in Princeton, N.J. For convenience, we will refer to it as the POLLEN DATA. The first three variables are the lengths…

This analysis describes and summarizes the relationships between 1987 salaries of major league baseball players and the player's performance. The salary data were taken from Sports Illustrated, April…

analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…

analcatdata A collection of data sets used in the book "Analyzing Categorical Data," by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission consists of a zip file containing two…

Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Gasoline comnsumption is being treated as…

DATA-SETS FROM DIGGLE, P.J. (1990). TIME SERIES : A BIOSTATISTICAL INTRODUCTION. Oxford University Press. Table: Table A1 Lutenizing hormone Information about the dataset CLASSTYPE: numeric…

Contains 110 data sets from the book 'The Statistical Sleuth' by Fred Ramsey and Dan Schafer; Duxbury Press, 1997. (schafer@stat.orst.edu) [14/Oct/97] (172k) Note: description taken from this web…

This S dump contains 22 data sets from the book Visualizing Data published by Hobart Press (books@hobart.com). The dump was created by data.dump() and can be read back into S by data.restore(). The…

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…

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…

A shar archive of data from the book Data Analysis: An Introduction(1992) Prentice Hall bu Jeff Witmer. Submitted by Jeff Witmer (fwitmer@ocvaxa.cc.oberlin.edu) [28/Jun/94] (29 kbytes) Note:…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

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…

Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file…

Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file…

* Title: User Knowledge Modeling Data Set * Abstract: It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D.…

!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! Identifier attribute deleted. As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction using instance-based…

Dataset from Smoothing Methods in Statistics (ftp stat.cmu.edu/datasets) Simonoff, J.S. (1996). Smoothing Methods in Statistics. New York: Springer-Verlag. Points scored per minute is being treated as…

libSVM","AAD group A practical guide to support vector classification. Technical report, Department of Computer Science, National Taiwan University, 2003. #Dataset from the LIBSVM data repository…

Modified version of the training dataset of the Bike Sharing Demand challenge running on Kaggle (http://www.kaggle.com/c/bike-sharing-demand/) If you use the problem in publication, please cite:…

Dataset Title: Localization Data for Person Activity Data Set Abstract: Data contains recordings of five people performing different activities. Each person wore four sensors (tags) while performing…

This is the same data as version 5 (OpenML ID = 1220) with '_id' features coded as nominal factor variables.

simple engine data

Content Microsoft is an American multinational technology company. It develops, manufactures, licenses, supports, and sells computer software, consumer electronics, personal computers, and related…

Context Google PlayStore App analytics. (1.1 Million + App Data) Source: https://github.com/gauthamp10/Google-Playstore-Dataset Content I've collected the data with the help of Python and Scrapy…

Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…

Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on numerical features" benchmark.…

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…

Subsampling of the dataset Click_prediction_small (42733) with seed=2 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

Subsampling of the dataset Click_prediction_small (42733) with seed=3 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

Subsampling of the dataset Click_prediction_small (42733) with seed=4 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

Subsampling of the dataset Click_prediction_small (42733) with seed=1 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

Subsampling of the dataset Click_prediction_small (42733) with seed=0 args.nrows=2000 args.ncols=100 args.nclasses=10 args.no_stratify=True Generated with the following source code: ```python def…

Thyroid disease records supplied by the Garavan Institute and J. Ross Quinlan, New South Wales Institute, Syndney, Australia. 1987.

This data set contains details of a bank's customers and the target variable is a binary variable reflecting the fact whether the customer left the bank (closed his account) or he continues to be a…

Data has been taken from various sources such as data gov and various other websites and has been pre processed for analysis purpose