Understanding machine learning techniques by visualising their decision boundaries

To reiterate, the space is coloured according to whether the machine learning technique predicts it belongs to the red or the blue class. For example, if a model predicts a high probability that a region is blue, then we shade that area darker blue). The line between coloured regions is called the decision boundary. The first thing you might look for is how many points have been misclassified by being included in an incorrectly coloured region. To perfectly solve this problem, a very complicated decision boundary is required.