AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 308 · 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 the model? (a) old emails marked spam (b) typing a new spoken word (c) past weather records (d) the trained program
2. 2.True or false: “recorded spoken words” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
5. 5.⏩ 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
6. 6.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) the trained program (d) tomorrow’s rain guess
7. 7.True or false: “past weather records” is the model. (a) False (b) True
8. 8.True or false: “flagging a new email” is the model. (a) False (b) True
9. 9.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) old emails marked spam (d) typing a new spoken word
10. 10.⏩ 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
11. 11.⏩ 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
12. 12.Which of these is training data? (a) the trained program (b) what training builds (c) flagging a new email (d) old emails marked spam
13. 13.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
14. 14.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
16. 16.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
20. 20.⏩ 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
21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
22. 22.True or false: “naming a new leaf” is a prediction. (a) True (b) False
23. 23.True or false: “naming a new leaf” is the model. (a) False (b) True
24. 24.True or false: “what training builds” is a prediction. (a) False (b) True
25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
28. 28.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
29. 29.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) the learned patterns (d) the trained program
30. 30.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) typing a new spoken word (d) naming a new leaf
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “typing a new spoken word” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
35. 35.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
38. 38.True or false: “naming a new fruit photo” is the model. (a) False (b) True
39. 39.⏩ 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
40. 40.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True

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