AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 336 · 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.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
2. 2.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) the trained program (d) 500 labelled leaf photos
3. 3.True or false: “labelled fruit photos” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
5. 5.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
9. 9.⏩ 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
10. 10.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) 500 labelled leaf photos (d) what training builds
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) typing a new spoken word (d) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) typing a new spoken word (d) naming a new fruit photo
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
18. 18.True or false: “typing a new spoken word” is training data. (a) True (b) False
19. 19.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
20. 20.Which of these is training data? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) the trained program
21. 21.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) recorded spoken words (d) the trained program
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
23. 23.True or false: “naming a new leaf” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
26. 26.True or false: “old emails marked spam” is the model. (a) True (b) False
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) 500 labelled leaf photos (d) the trained program
32. 32.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “flagging a new email” is a prediction. (a) False (b) True
35. 35.True or false: “naming a new leaf” is training data. (a) False (b) True
36. 36.True or false: “old emails marked spam” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False

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