AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 752 · 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: “what training builds” is training data. (a) True (b) False
2. 2.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
5. 5.True or false: “the trained program” is the model. (a) True (b) False
6. 6.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
7. 7.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) old emails marked spam
8. 8.True or false: “past weather records” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) labelled fruit photos
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “flagging a new email” is the model. (a) False (b) True
14. 14.⏩ 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
15. 15.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) typing a new spoken word (d) the learned patterns
16. 16.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
25. 25.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) 500 labelled leaf photos
26. 26.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
27. 27.True or false: “the learned patterns” is the model. (a) True (b) False
28. 28.True or false: “naming a new fruit photo” is training data. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “typing a new spoken word” is training data. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.True or false: “past weather records” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
40. 40.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model

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