Evaluations and datasets · Lesson 15 of 18 · 7 min

Build a regression report

A regression report identifies which cases worsened under a controlled comparison. Include the baseline and candidate versions and representative failures, not just a red badge.

Open the lab Course map

Mastery 0/3Run itExplain itApply it

learner@clairos:~ $

↑ history · Tab complete · Ctrl+C cancel · Esc, Tab to leaveExit 0

Your objectives

Hints are always available. Wrong turns never cost XP.

1
Read the case evidence
Read /opt/ai-lab/cases/aiops-evals-datasets-015.json. Separate the recorded facts from your assumptions.
Hint & worked example
A regression report identifies which cases worsened under a controlled comparison. Include the baseline and candidate versions and representative failures, not just a red badge.
The complete case JSON is read successfully.
```
cat /opt/ai-lab/cases/aiops-evals-datasets-015.json
```
Common mistake to avoid: An improvement elsewhere cancels the need to report regressions.
2
Isolate the deciding signal
Select the regressed_cases field from the case JSON. What does it establish—and what does it not establish?
Hint & worked example
Include case-044 and case-057 even though eight other cases improved.
A successful JSON query isolates regressed_cases.
```
jq .regressed_cases /opt/ai-lab/cases/aiops-evals-datasets-015.json
```
Common mistake to avoid: Using a different case or an unrelated signal as the justification.
3
Record your operational decision
Choose the justified code: report-regressed-cases, change-without-evidence, or ignore-the-signal. Save that one code followed by a newline in /home/learner/lab/aiops-evals-datasets-015-decision.txt.
Hint & worked example
Include case-044 and case-057 even though eight other cases improved.
The decision artifact contains the correct code, not just a matching command in history.
```
printf '%s\n' 'report-regressed-cases' > /home/learner/lab/aiops-evals-datasets-015-decision.txt
```
Common mistake to avoid: An improvement elsewhere cancels the need to report regressions.

Understand the pattern

A regression report identifies which cases worsened under a controlled comparison. Include the baseline and candidate versions and representative failures, not just a red badge.

Interpret the evidence

Include case-044 and case-057 even though eight other cases improved.

A tempting mistake

An improvement elsewhere cancels the need to report regressions.

All names, measurements, prices, versions, and thresholds in this exercise are fictional training data. The evidence supports this bounded scenario, not a claim about a live provider.

Worked example and expected result

$ cat /opt/ai-lab/cases/aiops-evals-datasets-015.json

{
  "fixture": "Fictional training data; not a live measurement.",
  "baseline": "eval-22",
  "candidate": "eval-23",
  "regressed_cases": [
    "case-044",
    "case-057"
  ],
  "improved_cases": 8
}

Exit status: 0. The command completed successfully in the training fixture.

$ jq .regressed_cases /opt/ai-lab/cases/aiops-evals-datasets-015.json

[
  "case-044",
  "case-057"
]

Exit status: 0. The command completed successfully in the training fixture.

$ printf '%s\n' 'report-regressed-cases' > /home/learner/lab/aiops-evals-datasets-015-decision.txt

(no output; exit 0)

Exit status: 0. The command completed successfully in the training fixture.

Try a variation

Name the assumption that would have to change for “report-regressed-cases” to stop being the justified action. Do not silently replace missing evidence with a guess.

Explain it

What does the evidence in “Build a regression report” justify?An improvement elsewhere cancels the need to report regressions.Make the change now and gather the missing evidence afterward.Include case-044 and case-057 even though eight other cases improved.

Apply it elsewhere

A colleague concludes: “An improvement elsewhere cancels the need to report regressions.” What should you do?Treat this fixture as a live measurement.Reject that conclusion; return to the case evidence and its stated limits.Accept it because the training command completed.

Keep the momentum.

Complete the lab, then explain and apply the pattern.

Next: Make a release recommendation Try an incident drill

Anonymous lesson and mastery progress lasts for this session. Sign in to keep synced lesson XP between sessions; mastery stays device-local. No speed bonus, lost lives, or hint penalties.

Keep learning

Case methodology: evidence, limits, decision