AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 829 · 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: “recorded spoken words”? (a) the model (b) a prediction (c) training data
2. 2.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
3. 3.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
4. 4.True or false: “labelled fruit photos” is the model. (a) True (b) False
5. 5.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the trained program (d) flagging a new email
6. 6.True or false: “naming a new leaf” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “naming a new leaf” is the model. (a) True (b) False
13. 13.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) past weather records (d) what training builds
14. 14.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
15. 15.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
20. 20.True or false: “naming a new fruit photo” is training data. (a) True (b) False
21. 21.⏩ 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
22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) the learned patterns
23. 23.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
24. 24.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
25. 25.True or false: “naming a new leaf” is a prediction. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
28. 28.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
29. 29.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) labelled fruit photos
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
31. 31.Which of these is a prediction? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) the trained program
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.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
34. 34.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
35. 35.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
37. 37.True or false: “typing a new spoken word” is the model. (a) True (b) False
38. 38.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
39. 39.True or false: “past weather records” is the model. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model

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