I. prepare a breast cancer data set that is provided by python datasets package. you may split this dataset into training set and testing set according to your own splitting ratio. the following picture is a code example how to load the cancer dataset into your python file. you can print(data. data) and print(data. target) to preview the features and labels you can also print(data) to preview the whole dataset. ii. use the gaussiannb to train naïve bayes classifier with the training set and then test this model with your testing set. iii. use classification_report library to draw a short report in python