AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 506 · 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: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “old emails marked spam” is the model. (a) True (b) False
3. 3.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
4. 4.True or false: “flagging a new email” is a prediction. (a) True (b) False
5. 5.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
7. 7.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
8. 8.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) past weather records (d) the trained program
9. 9.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) recorded spoken words
10. 10.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) past weather records (d) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
12. 12.True or false: “naming a new leaf” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
14. 14.Which of these is a prediction? (a) recorded spoken words (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
18. 18.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
19. 19.⏩ 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
20. 20.True or false: “labelled fruit photos” is the model. (a) True (b) False
21. 21.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
23. 23.True or false: “labelled fruit photos” is training data. (a) False (b) True
24. 24.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
25. 25.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) 500 labelled leaf photos
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
30. 30.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
31. 31.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) recorded spoken words (d) naming a new fruit photo
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
33. 33.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
34. 34.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
38. 38.True or false: “typing a new spoken word” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
40. 40.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) old emails marked spam (d) the learned patterns

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