Comparison of Different Methods for the Binary Classification of Points in the Plane
This Demonstration contains test datasets of points that are labeled red or blue depending on their positions in the plane. A classifier can be trained with different methods to learn the dependence of the color label from the coordinates of the point. To this end, a set of points (the training set) together with their labels is shown to the classifier. After training, the classifier must predict the labels of a different set of points (the test set). The accuracy of the classification on the test set depends on the size of the training set and the method used.