AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 758 · 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.True or false: “old emails marked spam” is training data. (a) True (b) False
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.True or false: “recorded spoken words” is a prediction. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
5. 5.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
6. 6.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) typing a new spoken word (d) old emails marked spam
7. 7.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
9. 9.Which of these is the model? (a) naming a new leaf (b) past weather records (c) recorded spoken words (d) what training builds
10. 10.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
11. 11.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) the learned patterns (d) 500 labelled leaf photos
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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
15. 15.⏩ 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
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
20. 20.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
21. 21.🧪 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
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
24. 24.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) tomorrow’s rain guess (d) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
26. 26.True or false: “naming a new leaf” is a prediction. (a) False (b) True
27. 27.True or false: “the learned patterns” is training data. (a) False (b) True
28. 28.True or false: “the trained program” is the model. (a) False (b) True
29. 29.True or false: “labelled fruit photos” is training data. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
34. 34.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
36. 36.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
40. 40.True or false: “what training builds” is training data. (a) False (b) True

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