AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 133 · 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: “the learned patterns”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “flagging a new email” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
4. 4.⏩ 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
5. 5.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) typing a new spoken word (d) the trained program
6. 6.True or false: “old emails marked spam” is training data. (a) True (b) False
7. 7.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
12. 12.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
13. 13.True or false: “naming a new fruit photo” is training data. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
16. 16.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) what training builds
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) flagging a new email (d) the trained program
19. 19.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
20. 20.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) labelled fruit photos (d) typing a new spoken word
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “the learned patterns” is the model. (a) False (b) True
23. 23.True or false: “typing a new spoken word” is training data. (a) True (b) False
24. 24.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) past weather records (d) the learned patterns
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
26. 26.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
28. 28.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) flagging a new email (d) labelled fruit photos
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) what training builds (d) old emails marked spam
30. 30.⏩ 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
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
32. 32.⏩ 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
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
35. 35.⏩ 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
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
39. 39.True or false: “past weather records” is the model. (a) True (b) False
40. 40.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) 500 labelled leaf photos

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