AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 149 · 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 a prediction? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) past weather records
2. 2.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) what training builds
3. 3.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
4. 4.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
5. 5.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
6. 6.True or false: “what training builds” is a prediction. (a) False (b) True
7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
10. 10.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
12. 12.True or false: “naming a new leaf” is training data. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
15. 15.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
16. 16.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess
17. 17.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
20. 20.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) recorded spoken words (d) typing a new spoken word
21. 21.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
22. 22.True or false: “old emails marked spam” is training data. (a) False (b) True
23. 23.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) labelled fruit photos (d) recorded spoken words
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
29. 29.Which of these is training data? (a) the trained program (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
30. 30.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
31. 31.⏩ 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
32. 32.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
38. 38.True or false: “labelled fruit photos” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
40. 40.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction

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