nadaAlruwaythi/Iris_Decisiontree_classifier
The Iris flower data set or Fisher's Iris data set is a multivariate data set. The data set consists of 150 samples from each of three species of Iris (Iris setosa-0, Iris virginica-1 and Iris versicolor-2). Four features were measured from each sample: the length and the width of the sepals and petals, in centimeters. Based on the combination of these four features, Fisher developed a linear discriminant model to distinguish the species from each other
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