AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 624 · 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: “tomorrow’s rain guess” is the model. (a) True (b) False
2. 2.True or false: “naming a new leaf” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
7. 7.True or false: “the learned patterns” is a prediction. (a) True (b) False
8. 8.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) the trained program (d) 500 labelled leaf photos
9. 9.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
10. 10.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
11. 11.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) recorded spoken words (d) the trained program
12. 12.Which of these is training data? (a) flagging a new email (b) past weather records (c) what training builds (d) tomorrow’s rain guess
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
15. 15.True or false: “old emails marked spam” is training data. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “naming a new fruit photo” is training data. (a) True (b) False
23. 23.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) 500 labelled leaf photos (d) what training builds
24. 24.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) tomorrow’s rain guess (d) recorded spoken words
25. 25.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) old emails marked spam (d) what training builds
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
31. 31.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
32. 32.⏩ 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
33. 33.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
35. 35.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) naming a new leaf
36. 36.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
38. 38.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
40. 40.True or false: “what training builds” is the model. (a) False (b) True

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