AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 799 · 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.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
2. 2.True or false: “the trained program” is a prediction. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
4. 4.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
5. 5.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
6. 6.Which of these is the model? (a) past weather records (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
7. 7.True or false: “flagging a new email” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
11. 11.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
13. 13.Which of these is a prediction? (a) past weather records (b) what training builds (c) flagging a new email (d) the trained program
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
15. 15.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
16. 16.⏩ 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
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
21. 21.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
22. 22.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
23. 23.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.⏩ 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
26. 26.True or false: “old emails marked spam” is training data. (a) False (b) True
27. 27.🧪 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
28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new leaf (d) typing a new spoken word
29. 29.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the trained program (d) naming a new fruit photo
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
32. 32.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
33. 33.True or false: “the trained program” is training data. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
35. 35.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
37. 37.True or false: “what training builds” is the model. (a) False (b) True
38. 38.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) 500 labelled leaf photos (d) labelled fruit photos
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
40. 40.⏩ 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

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