AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 909 · 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 delete its data (c) to make it slower (d) to see if it works
2. 2.True or false: “old emails marked spam” is training data. (a) True (b) False
3. 3.True or false: “typing a new spoken word” is training data. (a) True (b) False
4. 4.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
5. 5.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
6. 6.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
7. 7.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) old emails marked spam (d) what training builds
11. 11.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
12. 12.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
13. 13.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) flagging a new email
14. 14.True or false: “typing a new spoken word” is the model. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
16. 16.True or false: “past weather records” is the model. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) labelled fruit photos (d) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “naming a new leaf” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
22. 22.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
23. 23.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) the trained program (d) recorded spoken words
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
25. 25.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
26. 26.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
27. 27.🔮 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
28. 28.True or false: “labelled fruit photos” is the model. (a) True (b) False
29. 29.True or false: “labelled fruit photos” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
31. 31.⏩ 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
32. 32.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) recorded spoken words
33. 33.True or false: “what training builds” is training data. (a) False (b) True
34. 34.True or false: “naming a new leaf” is a prediction. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) what training builds (d) flagging a new email
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
39. 39.True or false: “the learned patterns” is the model. (a) True (b) False
40. 40.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) typing a new spoken word (d) flagging a new email

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