AI Worksheet: Training Data, Model, Prediction

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

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