AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 382 · 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.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
5. 5.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
7. 7.True or false: “labelled fruit photos” is the model. (a) False (b) True
8. 8.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
9. 9.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
11. 11.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) typing a new spoken word (d) tomorrow’s rain guess
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) old emails marked spam
15. 15.True or false: “naming a new leaf” is training data. (a) False (b) True
16. 16.⏩ 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
17. 17.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) flagging a new email
18. 18.True or false: “what training builds” is the model. (a) True (b) False
19. 19.True or false: “labelled fruit photos” is training data. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
21. 21.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
22. 22.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
27. 27.True or false: “naming a new leaf” is the model. (a) False (b) True
28. 28.True or false: “typing a new spoken word” is training data. (a) False (b) True
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) flagging a new email (d) what training builds
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.True or false: “recorded spoken words” is training data. (a) False (b) True
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.True or false: “typing a new spoken word” is the model. (a) True (b) False
35. 35.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) the trained program (d) past weather records
36. 36.Which of these is the model? (a) flagging a new email (b) past weather records (c) the learned patterns (d) typing a new spoken word
37. 37.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
38. 38.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
39. 39.True or false: “the learned patterns” is a prediction. (a) False (b) True
40. 40.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) what training builds (d) naming a new fruit photo

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