AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 78 · 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.Which of these is training data? (a) recorded spoken words (b) the trained program (c) naming a new fruit photo (d) flagging a new email
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) past weather records
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
5. 5.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
7. 7.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) the trained program
8. 8.True or false: “naming a new fruit photo” is training data. (a) False (b) True
9. 9.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) tomorrow’s rain guess (d) the learned patterns
10. 10.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) naming a new leaf
11. 11.True or false: “typing a new spoken word” is the model. (a) True (b) False
12. 12.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
14. 14.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
15. 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
16. 16.True or false: “naming a new leaf” is training data. (a) True (b) False
17. 17.True or false: “past weather records” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
19. 19.True or false: “old emails marked spam” is training data. (a) True (b) False
20. 20.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
21. 21.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) 500 labelled leaf photos (d) flagging a new email
22. 22.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
25. 25.True or false: “what training builds” is training data. (a) False (b) True
26. 26.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
33. 33.Which of these is training data? (a) flagging a new email (b) past weather records (c) the trained program (d) tomorrow’s rain guess
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
36. 36.True or false: “naming a new leaf” is a prediction. (a) True (b) False
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.True or false: “old emails marked spam” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
40. 40.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records

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