The applet has been created to allow the students to test and became more familiar with Machine Learning fundamentals and basic algorithms.In particular, you could test Support Vector Machine (SVM) algorithm on a classification task. You can choose between three different datasets (Moons, Circles, linearly separable) and set noise, number of samples and distance between classes, and you can tune the main model’s hyperparameters: kernel type, kernel parameter γ, regularization parameter C and the approach to adopt in muti-class case (one-vs-one, one-vs-rest).The applet has been realized using Dash and Plotly.

Regression, classification, random, Kernel Methods, Support vector machine, Ensemble Methods, Error Estimation