because we have measurements for which we know the correct species of iristhis is supervised learning problem in this problemwe want to predict one of several options (the species of iristhis is an example of classification problem the possible outputs (different species of irisesare called classes every iris in the dataset belongs to one of three classesso this problem is three-class classification problem the desired output for single data point (an irisis the species of this flower for particular data pointthe species it belongs to is called its label meet the data the data we will use for this example is the iris dataseta classical dataset in machine learning and statistics it is included in scikit-learn in the datasets module we can load it by calling the load_iris functionin[ ]from sklearn datasets import load_iris iris_dataset load_iris(the iris object that is returned by load_iris is bunch objectwhich is very similar to dictionary it contains keys and values introduction