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选择真正重要的指标

选择业务关键绩效指标，而不只是离线准确率

选择真正重要的指标 是 CoddyKit 上的免费 MLOps Academy 课时。这是第 2 节课，共 4 节。你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。这是 MLOps Academy 学习路径的一部分，你的进度在网页和 CoddyKit 应用中同步。 MLOps Academy 课程共包含 4 节课。

本课时的部分内容尚未翻译，以英文显示。

Accuracy Is Not the Goal

A challenger can win on offline accuracy yet lose money. The metric that decides your A/B test should be the business outcome you actually care about. 💡

Offline vs Online Metrics

Offline metrics like F1 or AUC come from a static test set. Online metrics come from live user behavior, and only those tell you the real production impact.

Pick One Primary Metric

Choose a single primary metric up front, like conversion rate or revenue per user. Deciding after you see the data is how teams fool themselves.

A Good Primary Metric

A strong primary metric is tied to value, moves with the model, and is measurable per user. Click-through, purchases, and watch time are classic examples.

Guardrail Metrics

Track guardrail metrics too: things that must not get worse, like latency, error rate, or churn. A win that breaks a guardrail is not a real win.

Computing the Lift

The lift is how much the challenger improves over the champion on your primary metric, usually as a percent change.

def lift(challenger_rate, champion_rate):
    return (challenger_rate - champion_rate) / champion_rate * 100

Beware Vanity Metrics

A vanity metric looks great but drives no value, like raw page views. Pretty numbers that do not connect to the business can mislead a whole team.

Watch for Proxy Gaps

Clicks are an easy proxy for satisfaction, but users can click then bounce. Make sure your proxy truly tracks the outcome you really want.

Segment Before You Trust

An average can hide trouble. A model may lift new users but hurt loyal ones, so check the metric across key segments, not just the whole.

Mind the Delay

Some outcomes, like a refund or a renewal, arrive days later. Pick a metric whose signal lands within your test window, or you will decide too early.

Write It Down First

Lock your primary metric, guardrails, and success threshold before the test starts. A written plan stops you from cherry-picking a flattering number later. ✅

Quick Check

Let us see which metric should decide the test.

Recap

Choose one primary business metric before the test, guard it with guardrails, and avoid vanity proxies. Segment your results and respect delayed signals. 🎯

常见问题解答

「选择真正重要的指标」课时是免费的吗？

是的 — 「选择真正重要的指标」的完整文本可在网页上免费阅读。要进行交互式练习（内置代码编辑器和全天候 AI 导师）并解锁 MLOps Academy 课程的其余内容，请升级到 CoddyKit PRO。 MLOps Academy 课程共包含 4 节课。

「选择真正重要的指标」这节课中我会学到什么？

选择业务关键绩效指标，而不只是离线准确率你通过在浏览器中直接运行的动手代码来练习 MLOps Academy，全天候 AI 导师会在你学习这节课的过程中回答你的问题。

学习 MLOps Academy 需要有经验吗？

无需任何先前经验。CoddyKit 上的 MLOps Academy 课程适合初学者到高级学习者，你可以从这里开始或从头开始，按照自己的节奏学习。这是第 2 节课，共 4 节。

「选择真正重要的指标」课时需要多长时间？

大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动，所以你能稳步进步，并在网页和应用中从离开的地方继续。

我能在这节 MLOps Academy 课中编写并运行代码吗？

能。每节 MLOps Academy 课都包含内置代码编辑器，你可以在浏览器中直接编写并运行真实代码，并获得即时 AI 反馈 — 无需本地设置。

此课程中的所有课时

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