TensorFlow Machine Learning Cookbook - Second Edition

How it works...

Given enough computation time and computational resources, we could have made the test and training sets bigger. This probably would have increased our accuracy, and is also a common way to prevent overfitting. Also, note that this algorithm warrants further exploration on the ideal k value to choose. The k value can be chosen after a set of cross-validation experiments on the dataset.