AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 720 · 40 questions

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

1. 1.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
8. 8.True or false: “naming a new leaf” is a prediction. (a) True (b) False
9. 9.True or false: “recorded spoken words” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
13. 13.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
17. 17.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
18. 18.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
19. 19.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
20. 20.True or false: “the learned patterns” is the model. (a) False (b) True
21. 21.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) naming a new leaf
22. 22.Which of these is the model? (a) recorded spoken words (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) labelled fruit photos
26. 26.Which of these is a prediction? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) recorded spoken words
27. 27.True or false: “the learned patterns” is a prediction. (a) False (b) True
28. 28.True or false: “flagging a new email” is the model. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
30. 30.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
31. 31.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) naming a new leaf (d) past weather records
32. 32.True or false: “past weather records” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
34. 34.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
36. 36.True or false: “past weather records” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
38. 38.True or false: “the trained program” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns

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