AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 154 · 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.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
2. 2.True or false: “labelled fruit photos” is training data. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
4. 4.True or false: “typing a new spoken word” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
6. 6.True or false: “naming a new leaf” is a prediction. (a) False (b) True
7. 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
8. 8.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) old emails marked spam (d) recorded spoken words
9. 9.⏩ 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
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
13. 13.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
14. 14.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
15. 15.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
16. 16.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
17. 17.Which of these is training data? (a) labelled fruit photos (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
18. 18.True or false: “the trained program” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “the learned patterns” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) the trained program (b) flagging a new email (c) past weather records (d) tomorrow’s rain guess
22. 22.True or false: “naming a new leaf” is the model. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
24. 24.True or false: “the trained program” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
26. 26.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) naming a new leaf (d) recorded spoken words
27. 27.Which of these is a prediction? (a) the trained program (b) past weather records (c) old emails marked spam (d) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “old emails marked spam” is the model. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
31. 31.True or false: “what training builds” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
34. 34.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
37. 37.True or false: “flagging a new email” is the model. (a) True (b) False
38. 38.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) naming a new leaf
39. 39.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
40. 40.True or false: “past weather records” is training data. (a) True (b) False

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