Try a different model name
Choose models from the dropdown
| Metric | ' for model_name in selected_models: short = model_name[:20] + "…" if len(model_name) > 20 else model_name html += f'{short} | ' html += '|
|---|---|---|
| {metric_name} | ' scores = {} for m in selected_models: if m in model_data_dict and leaderboard_name in model_data_dict[m]: scores[m] = model_data_dict[m][leaderboard_name].get("results", {}).get(metric_name) valid = [v for v in scores.values() if v is not None] max_s = max(valid) if valid else None min_s = min(valid) if valid else None for model_name in selected_models: score = scores.get(model_name) if score is not None: if len(valid) > 1 and max_s and min_s: if score == max_s: cls = "best" elif max_s > min_s: pct = (score - min_s) / (max_s - min_s) cls = "good" if pct >= 0.75 else "mid" if pct >= 0.5 else "low" if pct >= 0.25 else "worst" else: cls = "" else: cls = "" html += f'{score:.2f} | ' else: html += '— | ' html += '