AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 381 · 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.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
2. 2.True or false: “past weather records” is training data. (a) True (b) False
3. 3.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) typing a new spoken word (d) the trained program
4. 4.True or false: “what training builds” is training data. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
7. 7.True or false: “old emails marked spam” is a prediction. (a) False (b) True
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
9. 9.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
17. 17.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) past weather records (d) typing a new spoken word
18. 18.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
19. 19.True or false: “naming a new fruit photo” is training data. (a) False (b) True
20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
21. 21.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) 500 labelled leaf photos (d) the trained program
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “the learned patterns” is the model. (a) True (b) False
24. 24.Which of these is the model? (a) past weather records (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
25. 25.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) labelled fruit photos (d) what training builds
28. 28.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
34. 34.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
37. 37.⏩ 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
38. 38.True or false: “recorded spoken words” is training data. (a) False (b) True
39. 39.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) past weather records
40. 40.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the learned patterns (d) labelled fruit photos

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