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  • Home - UCI Machine Learning Repository
    By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository
  • Datasets - UCI Machine Learning Repository
    Discover datasets around the world! Iris A small classic dataset from Fisher, 1936 One of the earliest known datasets used for evaluating classification methods
  • Heart Disease - UCI Machine Learning Repository
    Discover datasets around the world! This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them In particular, the Cleveland database is the only one that has been used by ML researchers to date The "goal" field refers to the presence of heart disease in the patient It is integer valued from 0 (no presence) to 4 Experiments with the Cleveland
  • Iris - UCI Machine Learning Repository
    This is one of the earliest datasets used in the literature on classification methods and widely used in statistics and machine learning The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant
  • UCI Machine Learning Repository
    Dataset Files Papers Citing this Dataset Sort by Year, desc The Latent of Student Learning Analytic with K-mean Clustering for Student Behaviour Classification By Andi Mansur, Norazah Yusof 2018 Published in Journal of Information Systems Engineering and Business Intelligence
  • Breast Cancer Wisconsin (Diagnostic) - UCI Machine Learning Repository
    Dataset Files Papers Citing this Dataset Sort by Year, desc Machine learning in medicine: a practical introduction By Jenni Sidey-Gibbons, Chris Sidey-Gibbons 2019 Published in BMC medical research methodology
  • About - UCI Machine Learning Repository
    About The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms The archive was created as an ftp archive in 1987 by UCI PhD student David Aha
  • Datasets - UCI Machine Learning Repository
    Heterogeneity Activity Recognition The Heterogeneity Human Activity Recognition (HHAR) dataset from Smartphones and Smartwatches is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc ) in real-world contexts; specifically, the dataset is gathered with a variety of different device models and
  • Datasets - UCI Machine Learning Repository
    The dataset comprises 16 EEG channels (X1-X16) corresponding to different brain regions, with a binary label (y) indicating seizure presence (1) or absence (0) BEED supports machine learning in seizure detection, epilepsy analysis, and EEG research with its balanced, high-resolution data
  • Wine Quality - UCI Machine Learning Repository
    Modeling wine preferences by data mining from physicochemical properties By P Cortez, A Cerdeira, Fernando Almeida, Telmo Matos, J Reis 2009 Published in Decision Support Systems





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