AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 548 · 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: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
3. 3.True or false: “what training builds” is training data. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
8. 8.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) labelled fruit photos (d) 500 labelled leaf photos
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
13. 13.Which of these is the model? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) recorded spoken words
14. 14.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) old emails marked spam (d) flagging a new email
16. 16.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
19. 19.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) typing a new spoken word (d) past weather records
20. 20.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) flagging a new email (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
24. 24.True or false: “naming a new fruit photo” is the model. (a) True (b) False
25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
26. 26.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) the trained program
29. 29.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
30. 30.⏩ 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
31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
32. 32.True or false: “labelled fruit photos” is training data. (a) False (b) True
33. 33.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.True or false: “the learned patterns” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) flagging a new email (d) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
39. 39.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) what training builds (d) past weather records
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data

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