AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 887 · 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 training data. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
5. 5.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
6. 6.Which of these is training data? (a) the learned patterns (b) what training builds (c) the trained program (d) recorded spoken words
7. 7.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
10. 10.True or false: “labelled fruit photos” is training data. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
12. 12.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) the learned patterns (d) naming a new fruit photo
13. 13.True or false: “the trained program” is a prediction. (a) False (b) True
14. 14.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) what training builds
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
16. 16.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) what training builds
17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
21. 21.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
25. 25.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
26. 26.True or false: “typing a new spoken word” is training data. (a) True (b) False
27. 27.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) what training builds (d) recorded spoken words
28. 28.⏩ 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
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.Which of these is training data? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
31. 31.True or false: “old emails marked spam” is the model. (a) False (b) True
32. 32.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) typing a new spoken word (d) the trained program
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
36. 36.Which of these is a prediction? (a) past weather records (b) what training builds (c) the learned patterns (d) naming a new leaf
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
39. 39.🔮 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
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

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