AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 547 · 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: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) the trained program
8. 8.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
9. 9.True or false: “the trained program” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
12. 12.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new leaf (d) flagging a new email
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
15. 15.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) flagging a new email
16. 16.⏩ 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
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.True or false: “past weather records” is the model. (a) False (b) True
19. 19.True or false: “flagging a new email” is training data. (a) False (b) True
20. 20.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) past weather records (d) the learned patterns
21. 21.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
22. 22.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) naming a new fruit photo (d) what training builds
23. 23.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) the trained program
24. 24.True or false: “recorded spoken words” is a prediction. (a) True (b) False
25. 25.True or false: “naming a new leaf” is the model. (a) False (b) True
26. 26.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
27. 27.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
28. 28.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) past weather records (d) what training builds
29. 29.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “naming a new leaf” is a prediction. (a) True (b) False
32. 32.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
34. 34.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
36. 36.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
37. 37.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “labelled fruit photos” is the model. (a) True (b) False
40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error

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