AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 466 · 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.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) what training builds (d) naming a new leaf
7. 7.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
8. 8.True or false: “the learned patterns” is a prediction. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
10. 10.True or false: “flagging a new email” is the model. (a) True (b) False
11. 11.True or false: “the learned patterns” is the model. (a) True (b) False
12. 12.True or false: “old emails marked spam” is training data. (a) True (b) False
13. 13.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
14. 14.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is training data? (a) what training builds (b) past weather records (c) the learned patterns (d) naming a new leaf
17. 17.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) the learned patterns
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
20. 20.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) what training builds
26. 26.True or false: “typing a new spoken word” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
28. 28.True or false: “the learned patterns” is training data. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
30. 30.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) naming a new fruit photo
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
33. 33.True or false: “old emails marked spam” is the model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
36. 36.True or false: “the trained program” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
38. 38.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) naming a new leaf (d) flagging a new email
39. 39.True or false: “labelled fruit photos” is the model. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction

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