AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 232 · 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) training data (b) a password (c) a label error (d) a prediction
2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
3. 3.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
6. 6.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
9. 9.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) labelled fruit photos (d) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
11. 11.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
15. 15.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) 500 labelled leaf photos
16. 16.True or false: “old emails marked spam” is training data. (a) True (b) False
17. 17.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) flagging a new email (d) 500 labelled leaf photos
18. 18.True or false: “naming a new fruit photo” is the model. (a) False (b) True
19. 19.True or false: “flagging a new email” is training data. (a) False (b) True
20. 20.Which of these is a prediction? (a) what training builds (b) the trained program (c) the learned patterns (d) naming a new fruit photo
21. 21.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) flagging a new email (d) the trained program
22. 22.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
24. 24.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
26. 26.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
27. 27.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
28. 28.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
29. 29.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) 500 labelled leaf photos (d) what training builds
30. 30.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
31. 31.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
32. 32.Which of these is the model? (a) naming a new leaf (b) what training builds (c) naming a new fruit photo (d) past weather records
33. 33.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) the trained program
34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
35. 35.Which of these is training data? (a) past weather records (b) flagging a new email (c) the learned patterns (d) the trained program
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.True or false: “what training builds” is the model. (a) True (b) False
39. 39.True or false: “past weather records” is a prediction. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model

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