AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 178 · 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: “past weather records”? (a) the model (b) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
4. 4.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) old emails marked spam (d) the trained program
6. 6.Which of these is training data? (a) naming a new leaf (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
7. 7.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
10. 10.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
11. 11.True or false: “past weather records” is a prediction. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
14. 14.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
16. 16.True or false: “the trained program” is a prediction. (a) False (b) True
17. 17.True or false: “recorded spoken words” is the model. (a) False (b) True
18. 18.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
19. 19.True or false: “naming a new fruit photo” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
21. 21.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
22. 22.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
26. 26.True or false: “the learned patterns” is a prediction. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
31. 31.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
32. 32.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
33. 33.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) the trained program (d) past weather records
34. 34.True or false: “the trained program” is the model. (a) False (b) True
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
38. 38.True or false: “what training builds” is a prediction. (a) False (b) True
39. 39.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

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