BALaka-18 / SVM-Visualizer-Web-App

A web application to see effect of C hyperparameter on classification boundary and marginal threshold in SVM.

SVM Visualizer Web App

This web app shows the effect of the hyperparameters, C and kernel, on the Support Vector Machine(SVM) algorithm.

The user is asked to generate random data. The user is then given a choice of values to be used as C and kernel. Based on the user's choice, the SVM decision boundary and marginal threshold are shown. Change the values of C and the kernel to see the plot change.

ADDED :

--> Feature to see the 3D view of non-linearly separable data points, as projected by the Gaussian radial bias function.

Frontend :

1. HTML, CSS, Bootstrap, Javascript

2. Jinja

Backend :

1. Python (Flask)

2. ML model used : SVC (Support Vector Classifier)

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Screenshots of the working app

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License :

MIT

• Still in development phase
• Contributions are welcome

View the web app at : https://svm-visualizer.herokuapp.com/