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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]
This is a list of datasets for machine learning research. It is part of the list of datasets for machine-learning research. These datasets consist primarily of images or videos for tasks such as object detection, facial recognition, and multi-label classification.
ICS buildings (center and left) viewed from the top of Bren Hall. The Donald Bren School of Information and Computer Sciences, also known colloquially as UCI's School of ICS or simply the Bren School, is an academic unit of the University of California, Irvine (UCI), and the only dedicated school of computer science in the University of California system.
The main academic full-text databases are open archives or link-resolution services, although others operate under different models such as mirroring or hybrid publishers. . Such services typically provide access to full text and full-text search, but also metadata about items for which no full text is availa
The MNIST database (Modified National Institute of Standards and Technology database [1]) is a large database of handwritten digits that is commonly used for training various image processing systems. [2] [3] The database is also widely used for training and testing in the field of machine learning.
The Fashion MNIST dataset is a large freely available database of fashion images that is commonly used for training and testing various machine learning systems. [1] [2] Fashion-MNIST was intended to serve as a replacement for the original MNIST database for benchmarking machine learning algorithms, as it shares the same image size, data format and the structure of training and testing splits.
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]