AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 859 · 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: “recorded spoken words”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “flagging a new email” is a prediction. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is a prediction? (a) the trained program (b) past weather records (c) naming a new leaf (d) labelled fruit photos
7. 7.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) past weather records (d) labelled fruit photos
8. 8.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
13. 13.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
14. 14.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
16. 16.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) naming a new fruit photo (d) past weather records
17. 17.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) past weather records (d) the trained program
18. 18.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) what training builds (d) old emails marked spam
19. 19.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “old emails marked spam” is the model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
24. 24.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
26. 26.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) labelled fruit photos (d) naming a new fruit photo
27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
28. 28.Which of these is the model? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) 500 labelled leaf photos
29. 29.⏩ 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
30. 30.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “past weather records” is a prediction. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
34. 34.True or false: “the trained program” is a prediction. (a) False (b) True
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
36. 36.⏩ 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
37. 37.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) naming a new leaf (d) 500 labelled leaf photos
38. 38.🧪 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
39. 39.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo

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