AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 725 · 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) past weather records (b) flagging a new email (c) typing a new spoken word (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
3. 3.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) the trained program (d) naming a new leaf
4. 4.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
5. 5.True or false: “old emails marked spam” is training data. (a) True (b) False
6. 6.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
7. 7.Which of these is training data? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
9. 9.True or false: “past weather records” is training data. (a) False (b) True
10. 10.True or false: “flagging a new email” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
12. 12.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
13. 13.True or false: “what training builds” is a prediction. (a) True (b) False
14. 14.Which of these is training data? (a) the trained program (b) naming a new leaf (c) naming a new fruit photo (d) labelled fruit photos
15. 15.True or false: “naming a new leaf” is a prediction. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
17. 17.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) recorded spoken words
18. 18.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
21. 21.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
23. 23.⏩ 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
24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
26. 26.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
30. 30.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
31. 31.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
32. 32.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
33. 33.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) naming a new leaf (d) tomorrow’s rain guess
34. 34.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) past weather records (d) what training builds
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
37. 37.⏩ 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
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.True or false: “naming a new fruit photo” is training data. (a) True (b) False
40. 40.⏩ 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

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