lilykos/classy

A visual analytics environment for supervised text classification and model evaluation.

Description

Classy is a visual analytics interface, designed to load a labeled dataset, apply a variety of preprocessing steps, algorithms and evaluation metrics, and present a cohesive and intuitive representation and comparison of a variety of ML classification algorithms. Leveraging visual analytics, one can take a quick look and evaluate the performance of a collection of the most important classification algorithms, binary and multiclass.

Take a look of the functionality here: Classy Presentation on Youtube

Installation

Just download the project, install the requirements, and then python manage.py run, and open the project locally.

Screenshots

Main Menu

Visualizations

Options