AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 73 · 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.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
3. 3.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
5. 5.True or false: “the learned patterns” is a prediction. (a) False (b) True
6. 6.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) flagging a new email (d) the trained program
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
10. 10.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) tomorrow’s rain guess (d) recorded spoken words
11. 11.⏩ 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
12. 12.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
13. 13.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
14. 14.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
15. 15.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
16. 16.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
17. 17.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new fruit photo (d) recorded spoken words
18. 18.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
20. 20.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) tomorrow’s rain guess (d) past weather records
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
22. 22.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
26. 26.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
28. 28.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) past weather records
29. 29.True or false: “the learned patterns” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) the trained program (d) 500 labelled leaf photos
32. 32.True or false: “old emails marked spam” is a prediction. (a) False (b) True
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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