AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 146 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
2. 2.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
3. 3.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
9. 9.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) the learned patterns (d) labelled fruit photos
10. 10.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
11. 11.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
13. 13.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
15. 15.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
16. 16.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
17. 17.True or false: “past weather records” is the model. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
19. 19.True or false: “flagging a new email” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “past weather records” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
26. 26.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new leaf (d) recorded spoken words
27. 27.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
30. 30.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) typing a new spoken word (d) what training builds
31. 31.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
33. 33.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
34. 34.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
37. 37.True or false: “old emails marked spam” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
40. 40.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos

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