[PRE REVIEW]: Interactive Classification Metrics: An interactive graphical Python package for building robust intuition for classification model evaluation

[editorialbot]

Submitting author: @davhbrown (David Brown)
Repository: https://github.com/davhbrown/interactive_classification_metrics
Branch with paper.md (empty if default branch): joss-paper
Version: 0.2.2
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

Status

Status badge code:

HTML: <a href="https://joss.theoj.org/papers/4abaf3bf6789e8aca82a81c72a6d96ea"><img src="https://joss.theoj.org/papers/4abaf3bf6789e8aca82a81c72a6d96ea/status.svg"></a>
Markdown: [![status](https://joss.theoj.org/papers/4abaf3bf6789e8aca82a81c72a6d96ea/status.svg)](https://joss.theoj.org/papers/4abaf3bf6789e8aca82a81c72a6d96ea)

Author instructions

Thanks for submitting your paper to JOSS @davhbrown. Currently, there isn't a JOSS editor assigned to your paper.

@davhbrown if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSS submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

@editorialbot commands

[editorialbot]

Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

@editorialbot generate pdf

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (577.6 files/s, 101652.1 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                           4            111            109            835
Markdown                         2             36              0            181
TeX                              1             10              0             98
YAML                             1              1              4             23
-------------------------------------------------------------------------------
SUM:                             8            158            113           1137
-------------------------------------------------------------------------------

Commit count by author:

    47	David H. Brown

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1345

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1126/science.adg8538 is OK
- 10.1186/s13040-021-00244-z is OK
- 10.1186/s13040-023-00322-4 is OK
- 10.1016/j.patter.2023.100804 is OK
- 10.1016/S2589-7500(19)30123-2 is OK
- 10.1016/j.patter.2020.100141 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Occupational Outlook Handbook, Data Scientists
- No DOI given, and none found for title: The MCC-F1 curve: a performance evaluation techniq...
- No DOI given, and none found for title: State of Data Science and Machine Learning
- No DOI given, and none found for title: Evaluation: from precision, recall and F-measure t...

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

Five most similar historical JOSS papers:

Yellowbrick: Visualizing the Scikit-Learn Model Selection Process
Submitting author: @bbengfort
Handling editor: @arfon (Active)
Reviewers: @mnarayan
Similarity score: 0.7124

Clustergram: Visualization and diagnostics for cluster analysis
Submitting author: @martinfleis
Handling editor: @csoneson (Active)
Reviewers: @csadorf, @gagolews
Similarity score: 0.7060

visxhclust: An R Shiny package for visual exploration of hierarchical clustering
Submitting author: @rhenkin
Handling editor: @osorensen (Active)
Reviewers: @jonjoncardoso, @wiljnich
Similarity score: 0.7040

IDCeMPy: Python Package for Inflated Discrete Choice Models
Submitting author: @hknd23
Handling editor: @galessiorob (Active)
Reviewers: @cmaimone, @jungtaekkim, @tmickleydoyle
Similarity score: 0.7001

mikropml: User-Friendly R Package for Supervised Machine Learning Pipelines
Submitting author: @pschloss
Handling editor: @arfon (Active)
Reviewers: @JonnyTran, @FedericoComoglio
Similarity score: 0.6985

⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[davhbrown]

5 potential reviewers based on their Topic Area matches (machine learning, visualization, data science) & Language match for Python

• Yaoxiang Li
• Federico Errica
• Roque Lopez
• Simon Mutch
• EtienneCmb

[davhbrown]

Adding this submission's other author @davidechicco to the conversation.