AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 523 · 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.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
4. 4.Which of these is a prediction? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) flagging a new email
5. 5.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
6. 6.True or false: “recorded spoken words” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
10. 10.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
11. 11.True or false: “naming a new fruit photo” is the model. (a) False (b) True
12. 12.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.True or false: “the learned patterns” is training data. (a) True (b) False
16. 16.Which of these is a prediction? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
17. 17.True or false: “naming a new leaf” is a prediction. (a) True (b) False
18. 18.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
22. 22.True or false: “past weather records” is training data. (a) True (b) False
23. 23.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “typing a new spoken word” is training data. (a) True (b) False
28. 28.True or false: “what training builds” is the model. (a) False (b) True
29. 29.True or false: “the trained program” is training data. (a) False (b) True
30. 30.True or false: “recorded spoken words” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
32. 32.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
33. 33.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
34. 34.Which of these is training data? (a) naming a new leaf (b) what training builds (c) past weather records (d) typing a new spoken word
35. 35.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
38. 38.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
39. 39.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model

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