AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 246 · 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 the model? (a) recorded spoken words (b) typing a new spoken word (c) the trained program (d) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) past weather records (d) what training builds
5. 5.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is the model? (a) what training builds (b) recorded spoken words (c) 500 labelled leaf photos (d) past weather records
8. 8.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
10. 10.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) past weather records
11. 11.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
12. 12.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
15. 15.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
17. 17.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) what training builds (d) flagging a new email
18. 18.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
19. 19.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) the trained program (d) the learned patterns
20. 20.True or false: “naming a new leaf” is training data. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
24. 24.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) the trained program
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
28. 28.True or false: “past weather records” is the model. (a) False (b) True
29. 29.True or false: “the trained program” is the model. (a) False (b) True
30. 30.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) naming a new leaf (d) past weather records
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
32. 32.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
33. 33.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) typing a new spoken word
34. 34.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
35. 35.True or false: “old emails marked spam” is training data. (a) True (b) False
36. 36.True or false: “naming a new fruit photo” is training data. (a) True (b) False
37. 37.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
38. 38.True or false: “labelled fruit photos” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
40. 40.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) past weather records (d) the learned patterns

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