mirkobunse/critdd
Critical difference diagrams with Python and Tikz
This tool helps researchers, especially in machine learning, visually compare the performance of different methods across various datasets. You input your experimental results, like accuracy scores of multiple algorithms on several datasets, and it outputs a publication-ready Critical Difference (CD) diagram. This diagram clearly shows which methods are statistically indistinguishable.
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Use this if you need to create clear, statistically sound visualizations to compare multiple treatments or methods based on their outcomes across various observations, especially for research papers.
Not ideal if you're looking for an interactive data exploration tool or a solution for simple A/B testing comparisons.
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40
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6
Language
Python
License
—
Category
Last pushed
Oct 01, 2024
Commits (30d)
0
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