by using the abovewe are going to build naive bayes machine learning model to use the tumor information to predict whether or not tumor is malignant or benign to begin withwe need to install the sklearn module it can be done with the help of the following commandimport sklearn nowwe need to import the dataset named breast cancer wisconsin diagnostic database from sklearn datasets import load_breast_cancer nowthe following command will load the dataset data load_breast_cancer(the data can be organized as followslabel_names data['target_names'labels data['target'feature_names data['feature_names'features data['data'nowto make it clearer we can print the class labelsthe first data instance' labelour feature names and the feature' value with the help of following commandsprint(label_namesthe above command will print the class names which are malignant and benign respectively it is shown as the output below['malignant'benign'nowthe command given below will show that they are mapped to binary values and here represents malignant cancer and represents benign cancer it is shown as the output belowprint(labels[ ] the following two commands will produce the feature names and feature values print(feature_names[ ]mean radius print(features[ ] + + + +