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Emotion recognition (valence/arousal) leaderboard

CASE: F1 (Valence)

2 reported results for emotion recognition (valence/arousal) on CASE (Valence), ranked by F1. Top reported: FEEL best (0.49). Every row cites its source…

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  1. Leaderboard added with 2 results

From the hub's dated sync history: new results as they are added, and SOTA stars as they are awarded or move.

This page ranks every result ChatPPG has recorded for emotion recognition (valence/arousal) on CASE, measured by F1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging (higher is better). Each number is copied from the publication cited in its row, and ranks apply only within this dataset and metric and this protocol group.

Evaluation protocol: Binary valence — FEEL cross-dataset benchmark (19 datasets)

Emotion recognition (valence/arousal): CASE, F1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging. Reported rankings; evaluation protocols may differ.
RankMethod & evaluationF1 score (averaging not stated in the source; e.g. FEEL "average F1"). Neutral public label — never ranked with `macro_f1` or `f1`. Use `macro_f1` / `F1 (macro)` only when the paper states macro averaging↑ Higher is better
1FEEL best

FEEL best: LDA

Evaluation details · caveat

Site: not stated

Caveat: Best-of-16 model per cell (selected on the reported score).

0.49
2FEEL best

FEEL best: LDA

Evaluation details · caveat

Site: not stated

Caveat: Best-of-16 model per cell (selected on the reported score).

0.48

Rows are ranked only within this task × dataset × metric and one protocol group. Protocols can still differ in detail; read each method's evaluation details before comparing.

Sources on this board

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Data and submissions

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Cite or reuse this

CC BY 4.0ChatPPG compiled this data. You can copy, adapt and republish it, including in articles, slides, papers and AI tools, as long as you credit ChatPPG and link to this page. Please also cite the original studies for any number you use.

Attribution

Source: ChatPPG, CASE F1 leaderboard (Valence): emotion recognition (valence/arousal), https://chatppg.com/research/leaderboards/emotion/case-f1-score-valence (CC BY 4.0)

HTML link

Source: <a href="https://chatppg.com/research/leaderboards/emotion/case-f1-score-valence">ChatPPG, CASE F1 leaderboard (Valence): emotion recognition (valence/arousal)</a> (<a href="https://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0</a>)

Cite the page URL and the date you accessed it. Please also cite the original publications listed above.

APA

ChatPPG. (2026). CASE F1 leaderboard (Valence): emotion recognition (valence/arousal) [Data set]. ChatPPG Research Hub. https://chatppg.com/research/leaderboards/emotion/case-f1-score-valence

BibTeX
@misc{chatppg_emotion_case_f1_score_valence,
  author       = {{ChatPPG}},
  title        = {{CASE F1 leaderboard (Valence): emotion recognition (valence/arousal)}},
  year         = {2026},
  month        = nov,
  howpublished = {\url{https://chatppg.com/research/leaderboards/emotion/case-f1-score-valence}},
  note         = {ChatPPG Research Hub}
}
CITATION.cff
cff-version: 1.2.0
message: "If you use this resource, please cite it as below."
type: dataset
title: "CASE F1 leaderboard (Valence): emotion recognition (valence/arousal)"
authors:
  - name: "ChatPPG"
url: "https://chatppg.com/research/leaderboards/emotion/case-f1-score-valence"
date-released: "2026-11-05"