Classify {{samples}} using {{model}} with voting consensus. For each sample, run classification {{vote_count}} times: - Vary temperature slightly each run - Record predicted class per run - Calculate vote distribution Assign final class by majority vote. Report confidence as vote percentage. Flag low-confidence classifications below {{confidence_threshold}}.
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Details
Category
AnalysisUse Cases
Classification votingConfidence estimationReliable labeling
Works Best With
claude-opus-4.5gpt-5.2gemini-2.0-flash
Created Shared