AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 766 · 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: “typing a new spoken word” is training data. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is the model? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) past weather records
7. 7.True or false: “old emails marked spam” is the model. (a) False (b) True
8. 8.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) the learned patterns (d) labelled fruit photos
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
11. 11.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) 500 labelled leaf photos
12. 12.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) past weather records
13. 13.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
14. 14.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) typing a new spoken word
15. 15.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
17. 17.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new leaf
20. 20.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.True or false: “the trained program” is the model. (a) False (b) True
24. 24.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
25. 25.True or false: “old emails marked spam” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
27. 27.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) what training builds
28. 28.⏩ 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
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
30. 30.⏩ 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
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
34. 34.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
36. 36.True or false: “flagging a new email” is training data. (a) True (b) False
37. 37.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) the trained program
38. 38.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
40. 40.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) flagging a new email (d) labelled fruit photos

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