AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 542 · 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: “old emails marked spam”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “what training builds” is training data. (a) True (b) False
3. 3.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) labelled fruit photos (d) the learned patterns
4. 4.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) past weather records (d) what training builds
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
8. 8.True or false: “recorded spoken words” is training data. (a) False (b) True
9. 9.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
10. 10.True or false: “old emails marked spam” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
12. 12.True or false: “flagging a new email” is the model. (a) True (b) False
13. 13.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) recorded spoken words
14. 14.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) the trained program
15. 15.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) what training builds
16. 16.True or false: “typing a new spoken word” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
20. 20.Which of these is a prediction? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
25. 25.True or false: “flagging a new email” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
28. 28.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
32. 32.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
33. 33.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) the learned patterns (d) recorded spoken words
34. 34.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
35. 35.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
38. 38.True or false: “naming a new leaf” is the model. (a) True (b) False
39. 39.True or false: “the trained program” is the model. (a) False (b) True
40. 40.🔮 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

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