AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 330 · 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: “the learned patterns”? (a) the model (b) training data (c) a prediction
2. 2.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
3. 3.Which of these is the model? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) tomorrow’s rain guess
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
5. 5.True or false: “labelled fruit photos” is the model. (a) True (b) False
6. 6.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) old emails marked spam
7. 7.True or false: “the learned patterns” is the model. (a) True (b) False
8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
9. 9.True or false: “the learned patterns” is a prediction. (a) True (b) False
10. 10.True or false: “naming a new leaf” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
13. 13.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
14. 14.Which of these is the model? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
15. 15.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
16. 16.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
21. 21.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
23. 23.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) recorded spoken words (d) tomorrow’s rain guess
24. 24.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
25. 25.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) old emails marked spam
26. 26.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
31. 31.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
32. 32.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
36. 36.Which of these is training data? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) naming a new fruit photo
37. 37.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) naming a new fruit photo
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program

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