AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 561 · 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: “the learned patterns” is the model. (a) True (b) False
2. 2.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) what training builds (d) the learned patterns
3. 3.⏩ 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
4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) old emails marked spam (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
6. 6.⏩ 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
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
12. 12.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
13. 13.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
15. 15.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
16. 16.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) flagging a new email
17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
21. 21.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
22. 22.True or false: “old emails marked spam” is the model. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
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 training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) 500 labelled leaf photos
26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
27. 27.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) typing a new spoken word
28. 28.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) typing a new spoken word (d) the trained program
29. 29.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.True or false: “naming a new leaf” is the model. (a) True (b) False
33. 33.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) flagging a new email (d) old emails marked spam
34. 34.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) recorded spoken words
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
38. 38.True or false: “typing a new spoken word” is the model. (a) True (b) False
39. 39.True or false: “past weather records” is the model. (a) True (b) False
40. 40.True or false: “recorded spoken words” is training data. (a) False (b) True

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