AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 333 · 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) the model (c) training data
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
3. 3.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
4. 4.Which of these is training data? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) naming a new leaf
5. 5.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) labelled fruit photos
6. 6.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
7. 7.True or false: “typing a new spoken word” is training data. (a) False (b) True
8. 8.⏩ 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
9. 9.True or false: “labelled fruit photos” is the model. (a) True (b) False
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
11. 11.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
12. 12.⏩ 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
13. 13.True or false: “old emails marked spam” is the model. (a) True (b) False
14. 14.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
15. 15.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
16. 16.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) naming a new leaf
17. 17.True or false: “the learned patterns” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
19. 19.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
20. 20.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) recorded spoken words (d) old emails marked spam
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) what training builds (d) flagging a new email
23. 23.⏩ 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
24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
26. 26.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
27. 27.True or false: “naming a new leaf” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “the trained program” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
36. 36.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) flagging a new email
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
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.Which of these is training data? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
40. 40.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) recorded spoken words

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