AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 871 · 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.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
2. 2.True or false: “typing a new spoken word” is the model. (a) True (b) False
3. 3.True or false: “flagging a new email” is the model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
5. 5.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) 500 labelled leaf photos
6. 6.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
7. 7.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
8. 8.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
11. 11.⏩ 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
12. 12.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
14. 14.Which of these is the model? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) flagging a new email
15. 15.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
16. 16.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the trained program (d) labelled fruit photos
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
19. 19.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
20. 20.Which of these is a prediction? (a) what training builds (b) past weather records (c) the learned patterns (d) flagging a new email
21. 21.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
23. 23.True or false: “past weather records” is the model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
25. 25.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
26. 26.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
28. 28.True or false: “what training builds” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
30. 30.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
34. 34.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) the learned patterns (d) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
36. 36.⏩ 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
37. 37.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
39. 39.True or false: “naming a new fruit photo” is the model. (a) True (b) False
40. 40.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new fruit photo (d) tomorrow’s rain guess

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