AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 856 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
3. 3.⏩ 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
4. 4.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
5. 5.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
6. 6.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) flagging a new email (d) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is training data? (a) what training builds (b) recorded spoken words (c) naming a new fruit photo (d) naming a new leaf
9. 9.True or false: “past weather records” is training data. (a) False (b) True
10. 10.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
11. 11.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
14. 14.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
17. 17.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) flagging a new email (d) the trained program
18. 18.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
19. 19.True or false: “naming a new fruit photo” is the model. (a) False (b) True
20. 20.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) what training builds
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
22. 22.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
23. 23.Which of these is training data? (a) the trained program (b) flagging a new email (c) typing a new spoken word (d) 500 labelled leaf photos
24. 24.⏩ 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
25. 25.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
34. 34.True or false: “what training builds” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) flagging a new email (d) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.True or false: “labelled fruit photos” is the model. (a) True (b) False
39. 39.True or false: “what training builds” is the model. (a) True (b) False
40. 40.Which of these is a prediction? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos

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