AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 817 · 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: “the learned patterns”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
3. 3.True or false: “old emails marked spam” is a prediction. (a) True (b) False
4. 4.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
6. 6.True or false: “labelled fruit photos” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
10. 10.True or false: “the trained program” is the model. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) 500 labelled leaf photos (d) labelled fruit photos
13. 13.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
15. 15.True or false: “naming a new leaf” is the model. (a) True (b) False
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the trained program (d) recorded spoken words
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
20. 20.True or false: “flagging a new email” is the model. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
23. 23.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) past weather records
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
27. 27.Which of these is training data? (a) the trained program (b) naming a new leaf (c) labelled fruit photos (d) flagging a new email
28. 28.True or false: “the trained program” is a prediction. (a) False (b) True
29. 29.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) flagging a new email (d) past weather records
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “the learned patterns” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
33. 33.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) recorded spoken words (d) the learned patterns
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
36. 36.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) the trained program (d) flagging a new email
37. 37.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
38. 38.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.True or false: “recorded spoken words” is the model. (a) False (b) True

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