AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 885 · 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) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
4. 4.True or false: “old emails marked spam” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
6. 6.True or false: “typing a new spoken word” is training data. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
8. 8.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
9. 9.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
10. 10.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
11. 11.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
12. 12.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) the trained program
13. 13.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
14. 14.True or false: “what training builds” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
16. 16.True or false: “past weather records” is a prediction. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
18. 18.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos
19. 19.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
22. 22.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
23. 23.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
25. 25.⏩ 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
26. 26.True or false: “old emails marked spam” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
28. 28.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is training data? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) tomorrow’s rain guess
31. 31.True or false: “past weather records” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
34. 34.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
35. 35.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
36. 36.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns

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