AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 539 · 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.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
3. 3.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
4. 4.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) past weather records (d) recorded spoken words
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
6. 6.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) tomorrow’s rain guess (d) the trained program
7. 7.True or false: “naming a new leaf” is a prediction. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
9. 9.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
10. 10.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) typing a new spoken word (d) recorded spoken words
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
14. 14.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new leaf
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
16. 16.True or false: “recorded spoken words” is training data. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “past weather records” is training data. (a) True (b) False
21. 21.True or false: “the learned patterns” is the model. (a) True (b) False
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
23. 23.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new fruit photo (d) the learned patterns
24. 24.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
26. 26.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
28. 28.Which of these is training data? (a) the trained program (b) what training builds (c) tomorrow’s rain guess (d) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
30. 30.True or false: “labelled fruit photos” is the model. (a) True (b) False
31. 31.True or false: “what training builds” is training data. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “what training builds” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
38. 38.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
39. 39.True or false: “past weather records” is the model. (a) True (b) False
40. 40.True or false: “old emails marked spam” is training data. (a) True (b) False

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