Introduction

Benchmarking of ML algorithms requires an efficient collection of dataset to observe the performance of the machine learning algorithms.

One simple method is to create small dummy data which are linear and non-linear to see where certain algorithms fail and succeed.

The visual-data-gen is a visual canvas tool that allows to generate data with just click.

Usage

You can visit the web app at here. You will be presented with a canvas where you just need to click on the canvas like a whiteboard and generate the dataset.

You can generate data with labels by clicking on the multiple colors provided in the control menu at the bottom.

Don’t want this dataset? Just click on the clear button and everything will be gone and you will be presented with a white canvas.

When you are done with your generation, click on the download button and a .csv file gets downloaded to your desired location.

And yes…you are done with your dataset generation and ready to start playing with the data and algorithms.

Demo