AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 975 · 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) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
2. 2.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
3. 3.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
4. 4.True or false: “flagging a new email” is the model. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
8. 8.True or false: “recorded spoken words” is the model. (a) True (b) False
9. 9.True or false: “old emails marked spam” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
11. 11.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) past weather records (d) tomorrow’s rain guess
12. 12.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) naming a new leaf (d) the trained program
13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
14. 14.True or false: “what training builds” is the model. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “labelled fruit photos” is the model. (a) False (b) True
17. 17.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
18. 18.True or false: “typing a new spoken word” is the model. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
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 what training builds? (a) 500 labelled leaf photos (b) what training builds
24. 24.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
25. 25.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
26. 26.True or false: “typing a new spoken word” is training data. (a) True (b) False
27. 27.True or false: “naming a new fruit photo” is the model. (a) True (b) False
28. 28.⏩ 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
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
36. 36.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
37. 37.⏩ 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
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds

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