AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 605 · 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 training data? (a) naming a new fruit photo (b) the trained program (c) labelled fruit photos (d) the learned patterns
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) typing a new spoken word
8. 8.True or false: “recorded spoken words” is the model. (a) False (b) True
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
10. 10.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) typing a new spoken word
11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
13. 13.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) tomorrow’s rain guess
14. 14.True or false: “the learned patterns” is training data. (a) False (b) True
15. 15.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
16. 16.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) what training builds
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “naming a new leaf” is the model. (a) False (b) True
19. 19.True or false: “old emails marked spam” is a prediction. (a) False (b) True
20. 20.True or false: “past weather records” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.⏩ 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
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.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) recorded spoken words
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
28. 28.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
29. 29.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
30. 30.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
31. 31.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) typing a new spoken word (d) tomorrow’s rain guess
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
33. 33.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
34. 34.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
35. 35.True or false: “past weather records” is the model. (a) False (b) True
36. 36.True or false: “what training builds” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
38. 38.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
39. 39.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
40. 40.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program

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