AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 920 · 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.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
2. 2.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) labelled fruit photos (d) 500 labelled leaf photos
3. 3.🧪 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
4. 4.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
5. 5.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program
6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
7. 7.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
8. 8.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
11. 11.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
12. 12.True or false: “naming a new fruit photo” is training data. (a) False (b) True
13. 13.⏩ 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
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
15. 15.True or false: “naming a new leaf” is the model. (a) True (b) False
16. 16.True or false: “typing a new spoken word” is the model. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
18. 18.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
24. 24.⏩ 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
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
27. 27.True or false: “the learned patterns” is a prediction. (a) True (b) False
28. 28.Which of these is training data? (a) flagging a new email (b) the trained program (c) what training builds (d) past weather records
29. 29.⏩ 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
30. 30.True or false: “old emails marked spam” is a prediction. (a) True (b) False
31. 31.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) flagging a new email
32. 32.True or false: “typing a new spoken word” is training data. (a) True (b) False
33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
34. 34.True or false: “what training builds” is the model. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
36. 36.True or false: “past weather records” is training data. (a) True (b) False
37. 37.True or false: “old emails marked spam” is training data. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds

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