AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 749 · 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.True or false: “past weather records” is a prediction. (a) False (b) True
2. 2.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) typing a new spoken word
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.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
6. 6.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
8. 8.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
9. 9.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
10. 10.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) old emails marked spam
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.True or false: “what training builds” is training data. (a) True (b) False
14. 14.True or false: “the trained program” is training data. (a) True (b) False
15. 15.🔮 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
16. 16.True or false: “naming a new leaf” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
20. 20.True or false: “naming a new leaf” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
22. 22.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
23. 23.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) old emails marked spam
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
25. 25.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
33. 33.True or false: “past weather records” is training data. (a) True (b) False
34. 34.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
35. 35.True or false: “the trained program” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
38. 38.True or false: “naming a new leaf” is the model. (a) False (b) True
39. 39.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) 500 labelled leaf photos (d) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns

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