AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 129 · 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 naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
2. 2.True or false: “naming a new fruit photo” is the model. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
7. 7.🔮 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
8. 8.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
9. 9.True or false: “naming a new leaf” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
11. 11.True or false: “flagging a new email” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
13. 13.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
14. 14.True or false: “what training builds” is a prediction. (a) False (b) True
15. 15.True or false: “recorded spoken words” is a prediction. (a) True (b) False
16. 16.True or false: “flagging a new email” is a prediction. (a) False (b) True
17. 17.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
18. 18.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
19. 19.True or false: “old emails marked spam” is a prediction. (a) True (b) False
20. 20.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) what training builds (d) flagging a new email
21. 21.True or false: “what training builds” is training data. (a) False (b) True
22. 22.Which of these is the model? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) past weather records
23. 23.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
24. 24.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
25. 25.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) naming a new fruit photo
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
27. 27.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
28. 28.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
30. 30.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
31. 31.True or false: “naming a new fruit photo” is training data. (a) False (b) True
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.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) what training builds (d) the trained program
34. 34.True or false: “past weather records” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) recorded spoken words (d) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

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