AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 450 · 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: “the trained program” is training data. (a) False (b) True
2. 2.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
8. 8.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
9. 9.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
10. 10.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
11. 11.True or false: “naming a new leaf” is a prediction. (a) False (b) True
12. 12.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) flagging a new email
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
14. 14.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
16. 16.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
19. 19.⏩ 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
20. 20.True or false: “flagging a new email” is training data. (a) False (b) True
21. 21.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
22. 22.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
23. 23.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
24. 24.Which of these is the model? (a) recorded spoken words (b) the trained program (c) flagging a new email (d) old emails marked spam
25. 25.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
26. 26.True or false: “flagging a new email” is a prediction. (a) False (b) True
27. 27.Which of these is the model? (a) past weather records (b) the learned patterns (c) labelled fruit photos (d) flagging a new email
28. 28.Which of these is training data? (a) past weather records (b) flagging a new email (c) the trained program (d) what training builds
29. 29.True or false: “naming a new leaf” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “recorded spoken words” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
36. 36.True or false: “the learned patterns” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
38. 38.⏩ 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
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
40. 40.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program

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