Level 0 Checkpoint — after L0.6 — Your First AI Experiment

This checkpoint checks the skills accumulated through L0.6 — Your First AI Experiment.

Goal

Show that you can identify features and labels, keep training and test examples conceptually separate, make a prediction before running an experiment, and explain one result.

A tiny dataset

Hours of practice	Result
1	Not yet
2	Not yet
4	Ready
5	Ready

The number of practice hours is the feature. The result is the label.

Predict

If you choose a rule after looking at every test answer, is the final test still a fair check?

No, the test answers influenced the ruleYes, because the table is smallYes, if the final score is high

Try It

Write down which rows you would use to choose a rule and which row or rows you would save for a final check. Then explain why your saved examples should stay untouched until the end.

Builder

Use the idea to build and change working systems.

Re-run the Lab from L0.6 — Your First AI Experiment. Before pressing Run, write one prediction about what will happen. Afterward, compare your prediction with the evidence.

Loading lab…

Quick Check

1. What is a feature?

An input used to make a predictionA score shown after testingThe correct answer only

2. Why save test data?

To check behavior on examples that did not guide training or rule choiceTo make the dataset look largerTo avoid making predictions

3. What makes an experiment easier to explain?

Change many things at onceIgnore wrong predictionsChange one thing and keep the rest fixed

0 of 3 questions answered.

Challenge

In three sentences, explain your experiment: what you changed, what evidence you observed, and what you would test next.

Key Takeaways

• Features are inputs; labels are target answers.
• Training choices and final test evidence should stay separate.
• Predict before running so you can compare expectation with evidence.
• A useful explanation says what changed and what stayed fixed.