AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 265 · 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.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
3. 3.True or false: “labelled fruit photos” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
5. 5.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
6. 6.Which of these is the model? (a) flagging a new email (b) past weather records (c) the trained program (d) naming a new fruit photo
7. 7.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
13. 13.True or false: “flagging a new email” is training data. (a) False (b) True
14. 14.Which of these is training data? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) flagging a new email
15. 15.True or false: “old emails marked spam” is training data. (a) True (b) False
16. 16.True or false: “the trained program” is training data. (a) False (b) True
17. 17.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
23. 23.True or false: “naming a new leaf” is training data. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “naming a new fruit photo” is the model. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
27. 27.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) flagging a new email (d) old emails marked spam
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
29. 29.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) tomorrow’s rain guess (d) what training builds
30. 30.True or false: “what training builds” is the model. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
34. 34.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
35. 35.True or false: “the trained program” is the model. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
37. 37.True or false: “past weather records” is the model. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
40. 40.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction

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