Visualizing Basic Classification Patterns
Classification is the process of assigning a categorical class labels to elements of a set based on independent variables. For this visualization we take a simple task of classifying with only two classes "red" and "blue" based on two independent, continuous variables in the range zero to one (x and y). This allows for a direct visualization using a combination of a 2D scatter plot and a heat map.
The scatter plot shows the original training samples, the heat map the areas of classification – the class that would be assigned by each individual algorithm to each point in the 2D feature space.