AI Worksheet: Training Data, Model, Prediction

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

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