AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 819 · 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 the model? (a) past weather records (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
3. 3.True or false: “recorded spoken words” is the model. (a) True (b) False
4. 4.True or false: “old emails marked spam” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
6. 6.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
7. 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
8. 8.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
15. 15.Which of these is training data? (a) what training builds (b) old emails marked spam (c) flagging a new email (d) tomorrow’s rain guess
16. 16.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) tomorrow’s rain guess (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
18. 18.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is training data? (a) what training builds (b) past weather records (c) the trained program (d) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
24. 24.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.True or false: “the trained program” is the model. (a) False (b) True
27. 27.True or false: “flagging a new email” is the model. (a) False (b) True
28. 28.True or false: “naming a new leaf” is the model. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
31. 31.True or false: “labelled fruit photos” is the model. (a) False (b) True
32. 32.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
33. 33.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
34. 34.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
39. 39.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
40. 40.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam

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