Here, IRIS is a balanced dataset because the number of data points for every class Setosa, Virginica, and Versicolor is 50.11 ago 2020
Which algorithm is best for iris dataset?
For Iris Dataset it is evident that Neural networkis the best classification method. Following Random Forest,CART and Logistic Regression were also precise with accuracy 0.973.12 oct 2019
Is Iris dataset normally distributed?
The iris dataset This dataset contains some measurements of flower properties of three different species of iris. Often, but not always, real measurements like these conform to a classic normal distribution.
How would you describe Iris dataset?
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). These measures were used to create a linear discriminant model to classify the species.