AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 92 · 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: “naming a new fruit photo” is the model. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
3. 3.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new fruit photo (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
6. 6.True or false: “labelled fruit photos” is training data. (a) False (b) True
7. 7.True or false: “flagging a new email” is a prediction. (a) True (b) False
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
9. 9.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
10. 10.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
11. 11.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
13. 13.True or false: “old emails marked spam” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
16. 16.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
18. 18.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
19. 19.True or false: “naming a new leaf” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
22. 22.Which of these is the model? (a) flagging a new email (b) what training builds (c) past weather records (d) old emails marked spam
23. 23.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
24. 24.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
25. 25.⏩ 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
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) past weather records
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
31. 31.True or false: “old emails marked spam” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “the learned patterns” is a prediction. (a) True (b) False
34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
35. 35.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
36. 36.⏩ 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
37. 37.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) what training builds
38. 38.⏩ 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
39. 39.True or false: “recorded spoken words” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

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