AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 476 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
5. 5.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) 500 labelled leaf photos (d) what training builds
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “labelled fruit photos” is the model. (a) True (b) False
10. 10.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
11. 11.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
12. 12.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
14. 14.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
15. 15.True or false: “flagging a new email” is the model. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
18. 18.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
19. 19.⏩ 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
20. 20.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.True or false: “old emails marked spam” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
24. 24.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
25. 25.True or false: “typing a new spoken word” is training data. (a) True (b) False
26. 26.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) tomorrow’s rain guess (d) past weather records
27. 27.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) recorded spoken words (d) the learned patterns
28. 28.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) typing a new spoken word
29. 29.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) past weather records (d) recorded spoken words
30. 30.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “old emails marked spam” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
33. 33.True or false: “naming a new leaf” is a prediction. (a) False (b) True
34. 34.True or false: “naming a new leaf” is the model. (a) False (b) True
35. 35.True or false: “what training builds” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
37. 37.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
38. 38.True or false: “recorded spoken words” is the model. (a) True (b) False
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) old emails marked spam
40. 40.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new leaf

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