AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 123 · 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: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
2. 2.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is the model? (a) old emails marked spam (b) past weather records (c) recorded spoken words (d) what training builds
5. 5.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
6. 6.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
7. 7.Which of these is training data? (a) what training builds (b) the learned patterns (c) naming a new leaf (d) labelled fruit photos
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) flagging a new email (d) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
13. 13.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
14. 14.Which of these is training data? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) the trained program
15. 15.Which of these is the model? (a) past weather records (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
18. 18.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
19. 19.Which of these is a prediction? (a) what training builds (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) typing a new spoken word (d) the trained program
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
24. 24.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
28. 28.True or false: “naming a new fruit photo” is the model. (a) True (b) False
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
30. 30.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) past weather records
37. 37.🧪 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
38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo

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