AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 406 · 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 learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
3. 3.Which of these is a prediction? (a) past weather records (b) what training builds (c) naming a new leaf (d) recorded spoken words
4. 4.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
5. 5.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
6. 6.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
7. 7.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
9. 9.True or false: “the learned patterns” is the model. (a) True (b) False
10. 10.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
15. 15.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
16. 16.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
18. 18.True or false: “recorded spoken words” is the model. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
21. 21.True or false: “what training builds” is the model. (a) False (b) True
22. 22.⏩ 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
23. 23.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
27. 27.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
28. 28.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
34. 34.True or false: “past weather records” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
39. 39.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
40. 40.True or false: “past weather records” is a prediction. (a) False (b) True

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