AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 567 · 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.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) old emails marked spam (d) tomorrow’s rain guess
2. 2.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
3. 3.True or false: “old emails marked spam” is training data. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
5. 5.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
6. 6.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
7. 7.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) flagging a new email
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
9. 9.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
11. 11.Which of these is the model? (a) naming a new leaf (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
12. 12.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) labelled fruit photos (d) past weather records
15. 15.True or false: “recorded spoken words” is training data. (a) False (b) True
16. 16.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “past weather records” is training data. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
21. 21.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) what training builds
22. 22.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
27. 27.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
28. 28.True or false: “naming a new leaf” is training data. (a) False (b) True
29. 29.⏩ 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
30. 30.True or false: “what training builds” is a prediction. (a) False (b) True
31. 31.True or false: “recorded spoken words” is a prediction. (a) False (b) True
32. 32.True or false: “flagging a new email” is training data. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
34. 34.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) what training builds
35. 35.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
36. 36.True or false: “flagging a new email” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
38. 38.True or false: “naming a new leaf” is a prediction. (a) False (b) True
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) recorded spoken words (d) labelled fruit photos
40. 40.Which of these is training data? (a) the trained program (b) the learned patterns (c) past weather records (d) naming a new fruit photo

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