AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 972 · 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.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
2. 2.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
3. 3.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) 500 labelled leaf photos (d) typing a new spoken word
4. 4.True or false: “the trained program” is training data. (a) False (b) True
5. 5.True or false: “naming a new leaf” is training data. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
7. 7.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) typing a new spoken word (d) past weather records
10. 10.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
13. 13.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
14. 14.True or false: “what training builds” is training data. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
16. 16.Which of these is the model? (a) past weather records (b) old emails marked spam (c) the trained program (d) flagging a new email
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “naming a new fruit photo” is the model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
21. 21.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
22. 22.True or false: “past weather records” is training data. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
25. 25.True or false: “old emails marked spam” is the model. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
27. 27.True or false: “past weather records” is the model. (a) True (b) False
28. 28.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) past weather records (d) the learned patterns
29. 29.True or false: “old emails marked spam” is training data. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) what training builds (d) old emails marked spam
32. 32.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) old emails marked spam (d) the learned patterns
33. 33.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
35. 35.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
37. 37.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
38. 38.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
40. 40.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos

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