AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 948 · 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.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
6. 6.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
8. 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
10. 10.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
11. 11.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) flagging a new email (d) naming a new leaf
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
13. 13.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) flagging a new email (d) the learned patterns
15. 15.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) naming a new fruit photo
16. 16.Which of these is the model? (a) recorded spoken words (b) the trained program (c) labelled fruit photos (d) old emails marked spam
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
18. 18.⏩ 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
19. 19.True or false: “the learned patterns” is the model. (a) False (b) True
20. 20.True or false: “the learned patterns” is training data. (a) True (b) False
21. 21.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) old emails marked spam
22. 22.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
23. 23.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
24. 24.⏩ 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
25. 25.True or false: “past weather records” is training data. (a) False (b) True
26. 26.True or false: “what training builds” is the model. (a) False (b) True
27. 27.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) naming a new fruit photo
28. 28.⏩ 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
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
31. 31.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
32. 32.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new fruit photo (d) labelled fruit photos
33. 33.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
34. 34.True or false: “old emails marked spam” is training data. (a) False (b) True
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.True or false: “naming a new fruit photo” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) what training builds
39. 39.Which of these is training data? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data

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