AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 602 · 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 happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
2. 2.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
3. 3.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
5. 5.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
6. 6.True or false: “the trained program” is the model. (a) False (b) True
7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
8. 8.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) what training builds (d) labelled fruit photos
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
10. 10.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
11. 11.⏩ 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
12. 12.True or false: “past weather records” is the model. (a) True (b) False
13. 13.⏩ 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
14. 14.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
15. 15.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
16. 16.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
17. 17.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
19. 19.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
20. 20.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) past weather records (d) flagging a new email
21. 21.True or false: “flagging a new email” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
23. 23.Which of these is the model? (a) the trained program (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
24. 24.True or false: “the trained program” is a prediction. (a) False (b) True
25. 25.True or false: “the learned patterns” is the model. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
28. 28.True or false: “the learned patterns” is a prediction. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
31. 31.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
32. 32.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
36. 36.True or false: “what training builds” is training data. (a) True (b) False
37. 37.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
38. 38.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
40. 40.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) the learned patterns

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