AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 727 · 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: “what training builds” is training data. (a) False (b) True
2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
4. 4.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
5. 5.True or false: “past weather records” is training data. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) recorded spoken words (d) naming a new leaf
8. 8.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
11. 11.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
12. 12.⏩ 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
13. 13.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) what training builds (d) 500 labelled leaf photos
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
16. 16.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
17. 17.True or false: “the learned patterns” is a prediction. (a) False (b) True
18. 18.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
22. 22.True or false: “recorded spoken words” is training data. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
24. 24.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
27. 27.True or false: “naming a new leaf” is the model. (a) True (b) False
28. 28.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
30. 30.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
31. 31.⏩ 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
32. 32.True or false: “naming a new fruit photo” is training data. (a) False (b) True
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
37. 37.Which of these is a prediction? (a) what training builds (b) the trained program (c) old emails marked spam (d) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model

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