AI Worksheet: Training Data, Model, Prediction

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

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