What Is Iris Dataset?
The Iris Flower Data Set or Fisher's Iris Data Set Is a Multivariate Data Set Introduced by the British Statistician and Biologist Ronald Fisher in His 1936...
The Iris flower data set or Fisher's Iris data set is a multivariate data set introduced by the British statistician and biologist Ronald Fisher in his 1936 paper The use of multiple measurements in taxonomic problems as an example of linear discriminant analysis.
What is iris dataset in machine learning?
The Iris Dataset contains four features (length and width of sepals and petals) of 50 samples of three species of Iris (Iris setosa, Iris virginica and Iris versicolor). ... The dataset is often used in data mining, classification and clustering examples and to test algorithms.
What is iris dataset in Python?
Iris dataset contains five columns such as Petal Length, Petal Width, Sepal Length, Sepal Width and Species Type. Iris is a flowering plant, the researchers have measured various features of the different iris flowers and recorded digitally.
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