AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 802 · 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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
4. 4.⏩ 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
5. 5.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) typing a new spoken word
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
10. 10.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) the trained program (d) 500 labelled leaf photos
11. 11.True or false: “recorded spoken words” is the model. (a) True (b) False
12. 12.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
15. 15.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) labelled fruit photos (d) past weather records
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “the learned patterns” is a prediction. (a) True (b) False
19. 19.True or false: “recorded spoken words” is training data. (a) True (b) False
20. 20.⏩ 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
21. 21.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
24. 24.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
26. 26.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
27. 27.True or false: “recorded spoken words” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
29. 29.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
30. 30.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
31. 31.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
32. 32.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the trained program
38. 38.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
39. 39.True or false: “old emails marked spam” is training data. (a) True (b) False
40. 40.⏩ 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

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