AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 100 · 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: “old emails marked spam” is the model. (a) True (b) False
2. 2.True or false: “old emails marked spam” is training data. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
4. 4.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
5. 5.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) flagging a new email (d) old emails marked spam
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
9. 9.Which of these is training data? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) 500 labelled leaf photos
10. 10.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
12. 12.True or false: “the learned patterns” is a prediction. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
14. 14.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
16. 16.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
17. 17.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
18. 18.True or false: “the learned patterns” is training data. (a) False (b) True
19. 19.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
20. 20.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
23. 23.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
24. 24.True or false: “past weather records” is the model. (a) False (b) True
25. 25.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) recorded spoken words (d) 500 labelled leaf photos
26. 26.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) labelled fruit photos
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
29. 29.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) recorded spoken words (d) naming a new fruit photo
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
33. 33.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
34. 34.True or false: “recorded spoken words” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) typing a new spoken word (d) the learned patterns
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
39. 39.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
40. 40.True or false: “typing a new spoken word” is training data. (a) False (b) True

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