AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 588 · 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.Which of these is the model? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) labelled fruit photos
2. 2.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) what training builds (d) the learned patterns
3. 3.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
8. 8.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
9. 9.True or false: “old emails marked spam” is training data. (a) False (b) True
10. 10.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) the trained program
11. 11.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
14. 14.⏩ 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
15. 15.True or false: “naming a new leaf” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
17. 17.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
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) past weather records (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
20. 20.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) what training builds
21. 21.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
23. 23.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
24. 24.True or false: “recorded spoken words” is the model. (a) True (b) False
25. 25.⏩ 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
26. 26.True or false: “the trained program” is the model. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
28. 28.True or false: “past weather records” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
30. 30.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
35. 35.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
36. 36.True or false: “flagging a new email” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
38. 38.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
40. 40.True or false: “old emails marked spam” is the model. (a) True (b) False

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