AI Worksheet: Training Data, Model, Prediction

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

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