AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 364 · 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.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) flagging a new email
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) 500 labelled leaf photos (d) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
6. 6.True or false: “typing a new spoken word” is the model. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
10. 10.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
11. 11.True or false: “the learned patterns” is a prediction. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
13. 13.True or false: “what training builds” is a prediction. (a) True (b) False
14. 14.Which of these is training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
15. 15.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
16. 16.True or false: “recorded spoken words” is training data. (a) False (b) True
17. 17.True or false: “recorded spoken words” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
20. 20.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “naming a new leaf” is training data. (a) True (b) False
24. 24.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) labelled fruit photos (d) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
28. 28.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
29. 29.True or false: “naming a new leaf” is the model. (a) False (b) True
30. 30.⏩ 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
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
32. 32.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) past weather records (d) the trained program
35. 35.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
38. 38.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
39. 39.True or false: “old emails marked spam” is the model. (a) False (b) True
40. 40.True or false: “past weather records” is training data. (a) False (b) True

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