How to Generate Test Datasets in Python with scikit-learn - Machine Learning Mastery

Test datasets are small contrived datasets that let you test a machine learning algorithm or test harness. The data from test datasets have well-defined properties, such as linearly or non-linearity, that allow you to explore specific algorithm behavior. The scikit-learn Python library provides a suite of functions for generating samples from configurable test problems for regression and classification. In this tutorial, you will discover test problems and how to use them in Python with scikit-learn. A problem when developing and implementing machine learning algorithms is how do you know whether you have implemented them correctly.