Evaluation
Confidence Score
A number that tells you how sure an AI model is about its prediction, high confidence means it's certain, low means it's guessing.
Definition
A numerical value (typically 0-1) indicating the model's certainty about a prediction. Used for thresholding decisions, routing to humans when confidence is low, and prioritizing review queues.
Why it matters
The mechanism that enables human-in-the-loop systems, agents only escalate when confidence drops below acceptable thresholds.
Where Sophizo applies this
Sophizo deploys Confidence Score inside revenue and AI engagements with growth-stage operators and PE-backed portfolios.
See ForecastIQ →Related terms in Evaluation
Agent Evals
Standardized tests for AI agents to prove they are smart, safe, and reliable before they are deployed.
AI Model Monitoring
Keeping a constant watch on a deployed AI to make sure it hasn't gotten broken or less accurate over time.
Area Under the Curve (AUC)
A score from 0 to 1 that tells you how good your model is at distinguishing between two things (like spam vs. not spam).
Conformal Prediction
A technique that tells you not just what the AI predicts, but how confident it is, with a mathematical guarantee.
From vocabulary to outcomes
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