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Data available in the project's website. Data is also available here. [367] Zampieri et al. Cyber reports from the National Cyber Security Centre This data is not pre-processed. Threat reports, reports and advisory, news, blog-posts, speeches. Alternate list of reports. [368] APT reports by Kaspersky This data is not pre-processed. [369] The ...
Overhead Imagery Research Data Set: Annotated overhead imagery. Images with multiple objects. Over 30 annotations and over 60 statistics that describe the target within the context of the image. 1000 Images, text Classification 2009 [166] [167] F. Tanner et al. SpaceNet SpaceNet is a corpus of commercial satellite imagery and labeled training data.
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
In other projects Wikimedia Commons; Wikidata item; ... Social statistics data (3 C, 30 P) ... (human research) (4 C, 55 P) Pages in category "Statistical data sets"
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.
initial_ds is the seed data set; current_ds is the latest version of the data set; fit() is a function used to check whether moving the points gets closer to the desired shape; temp is the temperature of the simulated annealing algorithm; similar_enough() is a function that checks whether the statistics for the two given data sets are similar ...
The four datasets composing Anscombe's quartet. All four sets have identical statistical parameters, but the graphs show them to be considerably different. Anscombe's quartet comprises four datasets that have nearly identical simple descriptive statistics, yet have very different distributions and appear very different when graphed.
The set of images in the MNIST database was created in 1994. Previously, NIST released two datasets: Special Database 1 (NIST Test Data I, or SD-1); and Special Database 3 (or SD-2). They were released on two CD-ROMs. SD-1 was the test set, and it contained digits written by high school students, 58,646 images written by 500 different writers.