Multiclass classification with the Iris dataset
The Iris dataset is one of the classic and simple datasets. It contains the observations about the Iris plant. Each instance has four features: the sepal length, sepal width, petal length, and petal width. All the measurements are in centimeters. The dataset contains three classes for the target variable, where each class refers to a type of Iris plant: Iris Setosa, Iris Versicolour, and Iris Virginica.
You can find more information on this dataset at http://archive.ics.uci.edu/ml/datasets/Iris.
As this dataset is not present as a sample dataset in ML Studio, you need to import it to ML Studio using a reader module before building any model on it. Note that the Iris dataset present in the Saved Dataset ...
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