AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 124 · 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 training data? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) past weather records
2. 2.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
3. 3.True or false: “labelled fruit photos” is the model. (a) True (b) False
4. 4.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) recorded spoken words
5. 5.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
7. 7.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is a prediction? (a) past weather records (b) what training builds (c) the learned patterns (d) typing a new spoken word
11. 11.True or false: “the trained program” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
15. 15.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
16. 16.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
17. 17.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
21. 21.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
22. 22.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
25. 25.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new leaf (d) naming a new fruit photo
26. 26.True or false: “naming a new leaf” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
30. 30.⏩ 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
31. 31.True or false: “typing a new spoken word” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
33. 33.True or false: “what training builds” is training data. (a) True (b) False
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
37. 37.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) past weather records
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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