AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 836 · 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 is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
4. 4.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
7. 7.True or false: “naming a new leaf” is the model. (a) True (b) False
8. 8.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
9. 9.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
10. 10.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
11. 11.True or false: “old emails marked spam” is the model. (a) True (b) False
12. 12.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
13. 13.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the trained program (d) old emails marked spam
14. 14.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
15. 15.True or false: “what training builds” is the model. (a) False (b) True
16. 16.True or false: “typing a new spoken word” is the model. (a) True (b) False
17. 17.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
19. 19.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
20. 20.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
21. 21.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
23. 23.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
24. 24.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
27. 27.True or false: “old emails marked spam” is training data. (a) False (b) True
28. 28.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the trained program (d) the learned patterns
29. 29.True or false: “past weather records” is training data. (a) True (b) False
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) the learned patterns
31. 31.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
32. 32.True or false: “flagging a new email” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
37. 37.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) naming a new leaf
38. 38.True or false: “naming a new leaf” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program

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