AI Worksheet: Training Data, Model, Prediction

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

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