AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 967 · 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.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) labelled fruit photos (d) naming a new leaf
2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
5. 5.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
12. 12.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new leaf (d) old emails marked spam
13. 13.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.Which of these is a prediction? (a) past weather records (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
16. 16.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
18. 18.True or false: “recorded spoken words” is training data. (a) True (b) False
19. 19.True or false: “recorded spoken words” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “past weather records” is training data. (a) True (b) False
22. 22.True or false: “labelled fruit photos” is training data. (a) False (b) True
23. 23.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) typing a new spoken word (d) 500 labelled leaf photos
24. 24.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
26. 26.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
27. 27.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
28. 28.True or false: “recorded spoken words” is a prediction. (a) True (b) False
29. 29.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
30. 30.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) typing a new spoken word (d) flagging a new email
31. 31.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
32. 32.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the trained program (d) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
35. 35.Which of these is training data? (a) naming a new leaf (b) what training builds (c) past weather records (d) the learned patterns
36. 36.True or false: “old emails marked spam” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data

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