AI Worksheet: Training Data, Model, Prediction

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

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