AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 764 · 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: “flagging a new email” is training data. (a) True (b) False
2. 2.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) tomorrow’s rain guess (d) the trained program
3. 3.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) old emails marked spam (d) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
5. 5.⏩ 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
6. 6.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
7. 7.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) the learned patterns (d) labelled fruit photos
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) the learned patterns (d) the trained program
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) what training builds
12. 12.True or false: “what training builds” is the model. (a) True (b) False
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
14. 14.True or false: “recorded spoken words” is training data. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
18. 18.True or false: “what training builds” is training data. (a) False (b) True
19. 19.Which of these is the model? (a) flagging a new email (b) what training builds (c) tomorrow’s rain guess (d) typing a new spoken word
20. 20.🔮 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
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
24. 24.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) naming a new fruit photo (d) the trained program
25. 25.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
26. 26.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) the trained program (d) the learned patterns
27. 27.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “recorded spoken words” is the model. (a) False (b) True
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
37. 37.True or false: “old emails marked spam” is a prediction. (a) False (b) True
38. 38.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
40. 40.True or false: “500 labelled leaf photos” is the model. (a) True (b) False

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