AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 111 · 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: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
2. 2.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
5. 5.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) what training builds (d) old emails marked spam
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
8. 8.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
10. 10.True or false: “what training builds” is the model. (a) True (b) False
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
12. 12.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) flagging a new email (d) the learned patterns
13. 13.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) 500 labelled leaf photos (d) what training builds
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
16. 16.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
17. 17.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
18. 18.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) past weather records
19. 19.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) the trained program (d) 500 labelled leaf photos
20. 20.True or false: “naming a new fruit photo” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
22. 22.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
23. 23.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
24. 24.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
27. 27.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
28. 28.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
29. 29.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “old emails marked spam” is the model. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
37. 37.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
38. 38.True or false: “naming a new fruit photo” is the model. (a) True (b) False
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos

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