AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 743 · 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.True or false: “old emails marked spam” is the model. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
6. 6.True or false: “past weather records” is the model. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is training data? (a) the learned patterns (b) what training builds (c) the trained program (d) past weather records
9. 9.Which of these is a prediction? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
10. 10.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
11. 11.True or false: “flagging a new email” is the model. (a) True (b) False
12. 12.Which of these is the model? (a) the trained program (b) flagging a new email (c) past weather records (d) recorded spoken words
13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
17. 17.True or false: “the learned patterns” is a prediction. (a) False (b) True
18. 18.True or false: “typing a new spoken word” is training data. (a) True (b) False
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) what training builds
20. 20.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
21. 21.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) tomorrow’s rain guess (d) recorded spoken words
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
24. 24.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
27. 27.⏩ 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
28. 28.True or false: “recorded spoken words” is the model. (a) False (b) True
29. 29.True or false: “typing a new spoken word” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
31. 31.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
32. 32.True or false: “naming a new fruit photo” is the model. (a) True (b) False
33. 33.True or false: “the trained program” is a prediction. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
35. 35.True or false: “naming a new fruit photo” is training data. (a) True (b) False
36. 36.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
37. 37.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
38. 38.True or false: “labelled fruit photos” is the model. (a) True (b) False
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model

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