DiaMetrics is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing.
No installation is necessary. Open DiaMetrics directly. Alternatively: Simply download and open index.html in your browser or store all files on your web server.
If you actually publish DiaMetrics elsewhere (e.g. on your website, in another project, etc.), I would be happy to be notified!
The tutorial can easily be deactivated in index.js by setting the show_tutorial_var variable (ln 9) to false. The data displayed in example 2 is defined by data.js, and not generated pseudo-randomly (as in examples 1 & 3).
There are two other versions of DiaMetrics:
- DiaMetrics_DE (web | repository) is the German version of DiaMetrics.
- DiaMetrics_lite (web | repository) is a reduced version of DiaMetrics that can be used, for example, in presentations or to engange with an audience.
If you have found any bug or typo (or anything else that doesn't seem right) in DiaMetrics, I would be happy to be notified directly. You can also open an issue on github.
Note: Issues and pull requests are not actively monitored on a regular basis.
DiaMetrics was developed by Leon Rosenplänter for teaching at the Department of Psychological Diagnostics (Prof. Dr. Martin Kersting), Justus-Liebig-University Giessen, Germany. Many thanks to S. Bender and D. Bonarius for their essential feedback and corrections, greatly improving this project.
Please quote DiaMetrics as follows: See CITATION.md
DiaMetrics uses Bootstrap v5.3.1 for the design of the website and some visual functions.
DiaMetrics uses Chart.js v4.4.0 to display the scatter plots.
DiaMetrics uses the dragdata plugin for Chart.js v2.2.3 to make the separator draggable.
All these resources are integrated via a CDN.
Copyright (c) 2023 - 2024 Leon Rosenplänter. DiaMetrics is available under the MIT license. The full text of the license can be found in the LICENSE.md file.