In the preceding paragraphs, we have faced several classification problems using some of the algorithms available in the MATLAB environment. We did it in programming mode, deliberately in order to understand in detail the different procedures. Now that we have fully understood these concepts, we can relax and explore the tools MATLAB offers us to perform interactive classification with the use of the Classification Learner app.
Using this app, we can classify our data using various algorithms and compare the results in the same environment. Select features, specify validation schemes, train models, and assess results becomes extremely simple and automatic with this app. The classification models available are: decision trees, discriminant analysis, Support Vector Machines (SVM), logistic regression, nearest neighbors, and ensemble classification.
The Classification Learner app performs supervised machine learning, starting from a known set of input data and known...