AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 441 · 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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
3. 3.⏩ 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
4. 4.True or false: “flagging a new email” is a prediction. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
6. 6.True or false: “past weather records” is the model. (a) True (b) False
7. 7.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the learned patterns (d) what training builds
8. 8.True or false: “labelled fruit photos” is training data. (a) False (b) True
9. 9.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) old emails marked spam
10. 10.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
11. 11.True or false: “flagging a new email” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
14. 14.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) past weather records (d) naming a new leaf
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
16. 16.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
17. 17.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) recorded spoken words
18. 18.True or false: “the learned patterns” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) past weather records (d) naming a new fruit photo
25. 25.True or false: “old emails marked spam” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) the learned patterns (d) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
30. 30.True or false: “naming a new leaf” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
33. 33.True or false: “the learned patterns” is a prediction. (a) False (b) True
34. 34.True or false: “past weather records” is training data. (a) True (b) False
35. 35.Which of these is the model? (a) the trained program (b) naming a new leaf (c) tomorrow’s rain guess (d) old emails marked spam
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.True or false: “recorded spoken words” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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