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Most data files are adapted from UCI Machine Learning Repository data, some are collected from the literature. treated for missing values, numerical attributes only, different percentages of anomalies, labels 1000+ files ARFF: Anomaly detection: 2016 (possibly updated with new datasets and/or results) [331] Campos et al.
The University of California Irvine hosts the UCI Machine Learning Repository, a data resource which is very popular among machine learning researchers and data mining practitioners. [97] It was created in 1987 and contains 622 datasets from several domains including biology, medicine, physics, engineering, social sciences, games, and others. [98]
The iris data set is widely used as a beginner's dataset for machine learning purposes. The dataset is included in R base and Python in the machine learning library scikit-learn, so that users can access it without having to find a source for it. Several versions of the dataset have been published. [8]
Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.
It has been also used to make the Car Evaluation Data Set [10] in the UCI Machine Learning Repository. [11] The hierarchy in this example consists of ten attributes from which six are basic attributes and represent observed features of cars: BUY.PRICE - buying price; MAINT.PRICE - maintenance price; #PERS - number of persons; #DOORS - number of ...
Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Preprint repository of scholarly work in the fields of biomedical sciences, chemistry, and earth sciences >1,000 2007–2012 Nature Publishing Group: NutriXiv: Nutritional sciences: Preprint service for the nutritional sciences <100 2018 Center for Open Science: Optimization Online: Mathematics: Eprint repository for optimization topics >10,000 ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]