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Model Evaluation Report

A SageMaker + Bedrock evaluation report that blends metrics, cost, and risk into a decision-ready brief.

Doc typePrimary usersSuccess metricArtifacts
Doc type: Evaluation report
Primary users: ML leads, product, compliance
Success metric: Decision-ready comparison
Artifacts: Metric table, recommendations

0. Why this guide exists

Model selection decisions fail when they are based on anecdotes. This report uses SageMaker evaluation + Bedrock models to deliver a decision-ready comparison.

Problem

Teams pick models without measurable tradeoffs.

Outcome

Clear recommendation with cost, latency, and risk visibility.

Goal

Decision clarity for leadership.

1. Evaluation model (Tasks -> Metrics -> Risk)

Tasks

Customer support summarization, classification, and rewrite.

Metrics

Accuracy, latency, cost per call, refusal rate.

Risk

PII leakage, hallucination rate, compliance flags.

Tasks Metrics Risk Decision
Evaluation moves from tasks to metrics to risk and ends in a decision.

2. Scope and baseline (governance first)

Decision focus: cost, latency, and risk profile for high-volume support workflows.

Evaluation dataset scope and task coverage.
Evaluation dataset and scope.

3. Metrics snapshot (isolation and safety)

Model A

Accuracy 0.82, latency 750ms, cost $0.004 per call.

Model B

Accuracy 0.87, latency 1100ms, cost $0.006 per call.

Recommendation

Model A for production, Model B for research workflows.

4. Qualitative review (learning before building)

  • Model A more consistent with guardrail prompts.
  • Model B more verbose but higher hallucination risk.
  • Model A meets SLA without retries.

5. Cost and latency impact (proof of access)

  • Model A reduces monthly cost by 28% at current volume.
  • Model B increases latency beyond SLA on 12% of calls.

6. Guardrails and limits (preventing early failures)

Both models require prompt guardrails, but Model B needs stricter refusal handling.

Guardrails and risk handling summary.
Guardrails and risk handling.

7. Common failure modes (what breaks in real orgs)

Overweighting accuracy

Ignoring latency and cost until production.

Ignoring risk

Hallucination and PII leakage untested.

No refresh cadence

Evaluations become stale within weeks.

8. What "ready" actually means

  • Decision: Model selected with written rationale.
  • Risk: Guardrails and refusal handling documented.
  • Cadence: Quarterly re-evaluation scheduled.
  • Ownership: Evaluation owner assigned.

Business impact: Faster decisions with fewer production reversals.

Author note

Evaluation reports should read like executive briefs. The reader needs a decision, not a data dump.