AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 621 · 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 training data? (a) flagging a new email (b) typing a new spoken word (c) past weather records (d) naming a new leaf
2. 2.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) recorded spoken words
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
8. 8.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) naming a new fruit photo (d) what training builds
9. 9.True or false: “what training builds” is the model. (a) False (b) True
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
13. 13.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
14. 14.True or false: “the learned patterns” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
16. 16.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
19. 19.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
24. 24.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) naming a new leaf (d) the trained program
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.True or false: “labelled fruit photos” is the model. (a) False (b) True
27. 27.True or false: “labelled fruit photos” is training data. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
29. 29.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) flagging a new email (d) the trained program
30. 30.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) 500 labelled leaf photos (d) old emails marked spam
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “flagging a new email” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) labelled fruit photos
36. 36.True or false: “flagging a new email” is a prediction. (a) False (b) True
37. 37.Which of these is training data? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) flagging a new email
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
40. 40.True or false: “what training builds” is a prediction. (a) True (b) False

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