AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 363 · 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: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.🧪 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
3. 3.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) the trained program (d) naming a new fruit photo
4. 4.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
6. 6.Which of these is training data? (a) the trained program (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
7. 7.True or false: “old emails marked spam” is training data. (a) True (b) False
8. 8.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) old emails marked spam
9. 9.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
10. 10.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) naming a new fruit photo (d) what training builds
11. 11.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
12. 12.True or false: “naming a new fruit photo” is training data. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “recorded spoken words” is training data. (a) False (b) True
15. 15.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) what training builds (d) old emails marked spam
16. 16.True or false: “what training builds” is training data. (a) True (b) False
17. 17.Which of these is training data? (a) the learned patterns (b) what training builds (c) labelled fruit photos (d) flagging a new email
18. 18.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) tomorrow’s rain guess
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
20. 20.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
21. 21.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
24. 24.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
25. 25.True or false: “what training builds” is the model. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
27. 27.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
32. 32.⏩ 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
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.True or false: “past weather records” is training data. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) flagging a new email
38. 38.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam

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