AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 324 · 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 the model. (a) False (b) True
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
3. 3.True or false: “the trained program” is the model. (a) False (b) True
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
6. 6.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
7. 7.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
8. 8.True or false: “what training builds” is training data. (a) False (b) True
9. 9.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) typing a new spoken word (d) 500 labelled leaf photos
10. 10.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
11. 11.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
12. 12.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) flagging a new email (d) the trained program
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
15. 15.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
16. 16.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
20. 20.True or false: “naming a new fruit photo” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
23. 23.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
24. 24.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
28. 28.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
30. 30.True or false: “the trained program” is training data. (a) False (b) True
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
36. 36.True or false: “old emails marked spam” is the model. (a) True (b) False
37. 37.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.True or false: “typing a new spoken word” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos

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