complexity_adaptive_k_dynamic_classifier_selection 00200200 · COMPLETED
Research on choosing neighborhood size for dynamic classifier selection using dataset complexity, scikit-learn and DESlib.
github.com/00200200/complexity_adaptive_k_dynamic_classifier_selection · ★ 7 · Forks 0 · Size 198 KB
SUMMARY
Technologies 8
Scored 8
Observed 8
Practices 6
Evidence 9
Skips 0
COVERAGE
Analyzed 25 files · 22 commits · 0 API calls
TECHNOLOGIES & DEPTH
TOML LANGUAGE Depth 70
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Markdown LANGUAGE Depth 70
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YAML LANGUAGE Depth 70
1 files · PRODUCTION
Python LANGUAGE Depth 70
19 files · PRODUCTION
uv BUILD_TOOL Depth 80
1 files · CONFIGURATION
Poetry BUILD_TOOL Depth 80
1 files · CONFIGURATION
NumPy LIBRARY Depth 74
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pandas LIBRARY Depth 74
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PRACTICES
documentation · observedautomated_tests · absentcontinuous_integration · absentcontainerization · absentlinting · observedformatting · absent
ACTIVITY & OWNERSHIP
First commit 2025-10-22
Last commit 2025-12-21
Active months 3
Commits 22