AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 522 · 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 a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
4. 4.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
6. 6.True or false: “the learned patterns” is a prediction. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
9. 9.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
10. 10.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
11. 11.True or false: “labelled fruit photos” is training data. (a) False (b) True
12. 12.⏩ 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
13. 13.Which of these is training data? (a) flagging a new email (b) what training builds (c) past weather records (d) naming a new leaf
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) old emails marked spam (b) what training builds (c) tomorrow’s rain guess (d) the trained program
17. 17.True or false: “naming a new leaf” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
19. 19.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
20. 20.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “recorded spoken words” is a prediction. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
24. 24.True or false: “flagging a new email” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
27. 27.🔮 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
28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
29. 29.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) past weather records (d) recorded spoken words
32. 32.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
33. 33.True or false: “naming a new leaf” is the model. (a) False (b) True
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new fruit photo (d) 500 labelled leaf photos
35. 35.True or false: “naming a new fruit photo” is training data. (a) False (b) True
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
40. 40.⏩ 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

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