AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 305 · 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: “flagging a new email” is a prediction. (a) False (b) True
2. 2.True or false: “labelled fruit photos” is training data. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
5. 5.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) what training builds (d) the learned patterns
6. 6.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
8. 8.True or false: “naming a new fruit photo” is the model. (a) True (b) False
9. 9.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
10. 10.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) flagging a new email
11. 11.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) flagging a new email
12. 12.True or false: “old emails marked spam” is a prediction. (a) True (b) False
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
14. 14.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
21. 21.Which of these is the model? (a) past weather records (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
22. 22.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
26. 26.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
27. 27.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
28. 28.True or false: “the trained program” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.⏩ 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
32. 32.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
35. 35.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program

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