AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 654 · 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) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
3. 3.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
4. 4.True or false: “the trained program” is the model. (a) False (b) True
5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
6. 6.True or false: “what training builds” is the model. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
8. 8.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
10. 10.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
13. 13.True or false: “naming a new leaf” is training data. (a) True (b) False
14. 14.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) what training builds (d) 500 labelled leaf photos
15. 15.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) old emails marked spam (d) what training builds
17. 17.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
19. 19.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
22. 22.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) the trained program (d) naming a new fruit photo
23. 23.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new leaf (d) what training builds
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
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) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
28. 28.True or false: “naming a new leaf” is a prediction. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
34. 34.True or false: “labelled fruit photos” is training data. (a) True (b) False
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.True or false: “the trained program” is training data. (a) False (b) True
37. 37.True or false: “old emails marked spam” is the model. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) flagging a new email (d) past weather records

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