AI Worksheet: Training Data, Model, Prediction

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

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