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Metrics As Scores Dataset: The Iris Flower Data Set

Authors: Sebastian Hönel;

Metrics As Scores Dataset: The Iris Flower Data Set

Abstract

The Iris flower data set or Fisher’s Iris data set is a multivariate data set used and made famous by the British statistician and biologist Ronald Fisher. The dataset was introduced in his 1936 paper "The Use of Multiple Measurements in Taxonomic Problems" (Fisher 1936) as an example of linear discriminant analysis. This dataset has the following Features: Petal.Length: Length of the petal Petal.Width: Width of the petal Sepal.Length: Length of the sepal Sepal.Width: Width of the sepal It has a total of 3 Groups: setosa, versicolor, and virginica.

{"references": ["H\u00f6nel, Sebastian, Morgan Ericsson, Welf L\u00f6we, and Anna Wingkvist. 2022. \"Contextual Operationalization of Metrics as Scores: Is My Metric Value Good?\" In 22nd IEEE International Conference on Software Quality, Reliability and Security, QRS 2022, Guangzhou, China, December 5-9, 2022, 333\u201343. IEEE. https://doi.org/10.1109/QRS57517.2022.00042.", "Fisher, R. A. 1936. \"The Use of Multiple Measurements in Taxonomic Problems.\" Annals of Eugenics 7 (2): 179\u201388. https://doi.org/10.1111/j.1469-1809.1936.tb02137.x."]}

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Keywords

Iris, Flowers, Metrics As Scores

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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