AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 108 · 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: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) naming a new leaf (d) the learned patterns
7. 7.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
8. 8.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) the trained program (d) labelled fruit photos
9. 9.True or false: “naming a new leaf” is the model. (a) False (b) True
10. 10.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) recorded spoken words
11. 11.True or false: “past weather records” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
18. 18.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “old emails marked spam” is a prediction. (a) False (b) True
21. 21.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
24. 24.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
26. 26.⏩ 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
27. 27.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
28. 28.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.True or false: “old emails marked spam” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
33. 33.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
39. 39.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) past weather records (d) 500 labelled leaf photos
40. 40.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) tomorrow’s rain guess (d) naming a new leaf

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