Table · dataset · 2026
<p>Evaluation metrics. The table shows the average evaluation metrics for XGBoost and two single-rule-based classifiers across the outer folds of the nested cross-validation. Baseline 1: single-rule-based classifier using the maximum obstacle height attempted (including unsuccessful attempts). Baseline 2: single-rule-based classifier using the maximum obstacle height successfully cleared (clear rounds only). AP: average precision; AUC: area under the ROC curve; ACC: accuracy; SEN: sensitivity; SPEC: specificity.</p>
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<p>Evaluation metrics.
Description
The table shows the average evaluation metrics for XGBoost and two single-rule-based classifiers across the outer folds of the nested cross-validation. Baseline 1: single-rule-based classifier using the maximum obstacle height attempted (including unsuccessful attempts).
Baseline 2: single-rule-based classifier using the maximum obstacle height successfully cleared (clear rounds only). AP: average precision; AUC: area under the ROC curve; ACC: accuracy; SEN: sensitivity; SPEC: specificity.</p>
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- DOI doi.org/10.1371/journal.pone.0357799.t001 ↗
DOI / persistent id · from figshare com
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- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
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- Astronomy & Astrophysics · Chemistry · Computer Science & AI · Earth & Environmental Science · Ecology · Economics & Finance · Engineering · Humanities · Life Sciences · Mathematics & Statistics · Medicine & Health · Ocean & Atmospheric Science · Research, science and technology policy · Social Science
- Inferred from text
- Tabular 65%
Provenance · 1 source records, 20 field assertions
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|---|---|---|---|
| figshare | oai:figshare.com:article/33811943 | 8 d ago | JSON v1 |
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| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |