showing the regression target we are using these very simplelow-dimensional datasets because we can easily visualize them-- printed page has two dimensionsso data with more than two features is hard to show any intuition derived from datasets with few features (also called low-dimensional datasetsmight not hold in datasets with many features (highdimensional datasetsas long as you keep that in mindinspecting algorithms on low-dimensional datasets can be very instructive we will complement these small synthetic datasets with two real-world datasets that are included in scikit-learn one is the wisconsin breast cancer dataset (cancerfor short)which records clinical measurements of breast cancer tumors each tumor is labeled as "benign(for harmless tumorsor "malignant(for cancerous tumors)and the task is to learn to predict whether tumor is malignant based on the measurements of the tissue the data can be loaded using the load_breast_cancer function from scikit-learnin[ ]from sklearn datasets import load_breast_cancer cancer load_breast_cancer(print("cancer keys()\ {}format(cancer keys()) supervised learning