AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 480 · 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 training data? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
2. 2.True or false: “old emails marked spam” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) flagging a new email
5. 5.True or false: “naming a new leaf” is training data. (a) True (b) False
6. 6.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) flagging a new email (d) the learned patterns
10. 10.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
11. 11.True or false: “old emails marked spam” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
14. 14.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
16. 16.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “flagging a new email” is training data. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
23. 23.⏩ 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
24. 24.True or false: “recorded spoken words” is training data. (a) False (b) True
25. 25.True or false: “past weather records” is the model. (a) True (b) False
26. 26.Which of these is the model? (a) old emails marked spam (b) what training builds (c) recorded spoken words (d) typing a new spoken word
27. 27.True or false: “naming a new leaf” is a prediction. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
31. 31.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) naming a new leaf (d) 500 labelled leaf photos
32. 32.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) flagging a new email (d) old emails marked spam
33. 33.True or false: “typing a new spoken word” is training data. (a) False (b) True
34. 34.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the trained program (d) typing a new spoken word
35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) past weather records (c) 500 labelled leaf photos (d) old emails marked spam
36. 36.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
38. 38.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
39. 39.True or false: “the learned patterns” is the model. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess

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