AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 355 · 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.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
4. 4.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) flagging a new email (d) the learned patterns
5. 5.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
6. 6.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
7. 7.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
8. 8.True or false: “the trained program” is training data. (a) True (b) False
9. 9.True or false: “recorded spoken words” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
11. 11.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) typing a new spoken word (d) old emails marked spam
12. 12.True or false: “old emails marked spam” is training data. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is the model? (a) past weather records (b) old emails marked spam (c) labelled fruit photos (d) what training builds
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) old emails marked spam (d) past weather records
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
21. 21.True or false: “flagging a new email” is a prediction. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
23. 23.True or false: “old emails marked spam” is the model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
25. 25.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
26. 26.True or false: “naming a new fruit photo” is the model. (a) True (b) False
27. 27.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) what training builds (d) the trained program
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
33. 33.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) naming a new fruit photo
37. 37.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
39. 39.True or false: “the learned patterns” is a prediction. (a) False (b) True
40. 40.True or false: “500 labelled leaf photos” is training data. (a) False (b) True

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