AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 840 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
2. 2.True or false: “recorded spoken words” is training data. (a) False (b) True
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
4. 4.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the learned patterns (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
10. 10.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
13. 13.True or false: “past weather records” is the model. (a) True (b) False
14. 14.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) what training builds (d) typing a new spoken word
15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
17. 17.True or false: “naming a new fruit photo” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.True or false: “naming a new fruit photo” is the model. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
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.True or false: “labelled fruit photos” is training data. (a) True (b) False
24. 24.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
25. 25.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) typing a new spoken word (d) tomorrow’s rain guess
26. 26.True or false: “old emails marked spam” is a prediction. (a) True (b) False
27. 27.True or false: “the learned patterns” is the model. (a) True (b) False
28. 28.True or false: “what training builds” is the model. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
30. 30.True or false: “naming a new leaf” is training data. (a) True (b) False
31. 31.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) past weather records (d) the trained program
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
35. 35.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
36. 36.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) old emails marked spam (d) the learned patterns
37. 37.🧪 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
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) labelled fruit photos (d) past weather records
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email

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