AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 552 · 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.Which of these is the model? (a) naming a new leaf (b) what training builds (c) old emails marked spam (d) past weather records
2. 2.⏩ 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
3. 3.True or false: “naming a new leaf” is training data. (a) True (b) False
4. 4.⏩ 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
5. 5.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
6. 6.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
8. 8.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
9. 9.True or false: “labelled fruit photos” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “typing a new spoken word” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) past weather records (d) the trained program
15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) flagging a new email (d) naming a new fruit photo
17. 17.True or false: “naming a new leaf” is a prediction. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
19. 19.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
20. 20.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
21. 21.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
22. 22.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
24. 24.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) flagging a new email
25. 25.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) flagging a new email
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
27. 27.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
28. 28.⏩ 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
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
30. 30.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
31. 31.True or false: “old emails marked spam” is a prediction. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
34. 34.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
35. 35.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
37. 37.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) typing a new spoken word (d) the learned patterns
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model

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