AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 989 · 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, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “the trained program” is the model. (a) False (b) True
4. 4.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) labelled fruit photos (d) past weather records
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
6. 6.True or false: “naming a new fruit photo” is training data. (a) False (b) True
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: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
11. 11.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “old emails marked spam” is training data. (a) True (b) False
15. 15.Which of these is the model? (a) what training builds (b) naming a new leaf (c) typing a new spoken word (d) recorded spoken words
16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “typing a new spoken word” is training data. (a) True (b) False
20. 20.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) typing a new spoken word
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
26. 26.Which of these is training data? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) flagging a new email
27. 27.Which of these is training data? (a) the trained program (b) flagging a new email (c) old emails marked spam (d) the learned patterns
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
30. 30.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
31. 31.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
32. 32.True or false: “naming a new leaf” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
34. 34.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

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