scikit-learn comes installed with various datasets which we can load into pythonand the dataset we want is included import and load the datasetml tutorial from sklearn datasets import load_breast_cancer load dataset data load_breast_cancer( data variable represents python object that works like dictionary the important dictionary keys to consider are the classification label names (target_names)the actual labels (target)the attribute/feature names (feature_names)and the attributes (dataattributes are critical part of any classifier attributes capture important characteristics about the nature of the data given the label we are trying to predict (malignant versus benign tumor)possible useful attributes include the sizeradiusand texture of the tumor create new variables for each important set of information and assign the dataml tutorial organize our data