AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 940 · 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: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
2. 2.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
4. 4.True or false: “typing a new spoken word” is the model. (a) True (b) False
5. 5.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
7. 7.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
13. 13.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
14. 14.True or false: “old emails marked spam” is a prediction. (a) True (b) False
15. 15.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) old emails marked spam (d) the learned patterns
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
18. 18.True or false: “flagging a new email” is a prediction. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
21. 21.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) labelled fruit photos (d) what training builds
23. 23.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
24. 24.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new fruit photo (d) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
27. 27.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
29. 29.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
30. 30.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
31. 31.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
32. 32.True or false: “the trained program” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
34. 34.True or false: “what training builds” is the model. (a) False (b) True
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
40. 40.True or false: “the learned patterns” is the model. (a) True (b) False

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