AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 620 · 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.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
3. 3.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
4. 4.Which of these is training data? (a) what training builds (b) naming a new leaf (c) flagging a new email (d) old emails marked spam
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
6. 6.True or false: “naming a new leaf” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) the trained program (d) naming a new leaf
8. 8.True or false: “the learned patterns” is the model. (a) True (b) False
9. 9.True or false: “the trained program” is a prediction. (a) False (b) True
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
13. 13.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
14. 14.Which of these is the model? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) naming a new leaf
15. 15.True or false: “naming a new leaf” is the model. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) recorded spoken words
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
20. 20.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “naming a new leaf” is training data. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
24. 24.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
25. 25.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
26. 26.True or false: “the trained program” is the model. (a) True (b) False
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
29. 29.True or false: “naming a new fruit photo” is training data. (a) False (b) True
30. 30.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
31. 31.⏩ 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
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “past weather records” is training data. (a) True (b) False
34. 34.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
35. 35.Which of these is training data? (a) naming a new leaf (b) the trained program (c) past weather records (d) the learned patterns
36. 36.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) the learned patterns
37. 37.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “labelled fruit photos” is training data. (a) False (b) True

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