AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 81 · 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: “typing a new spoken word” is a prediction. (a) False (b) True
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
4. 4.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
5. 5.True or false: “old emails marked spam” is the model. (a) True (b) False
6. 6.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
7. 7.True or false: “naming a new fruit photo” is training data. (a) True (b) False
8. 8.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) 500 labelled leaf photos
9. 9.⏩ 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
10. 10.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) naming a new fruit photo
11. 11.Which of these is training data? (a) flagging a new email (b) past weather records (c) naming a new fruit photo (d) what training builds
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
13. 13.True or false: “naming a new leaf” is a prediction. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) naming a new leaf (d) past weather records
21. 21.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
23. 23.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
24. 24.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
26. 26.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
30. 30.True or false: “the trained program” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
32. 32.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
34. 34.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) the trained program (d) labelled fruit photos
39. 39.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
40. 40.True or false: “what training builds” is the model. (a) False (b) True

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