AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 655 · 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 training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
2. 2.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
6. 6.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
7. 7.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) what training builds (d) past weather records
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
9. 9.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
16. 16.True or false: “past weather records” is the model. (a) False (b) True
17. 17.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
19. 19.⏩ 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
20. 20.True or false: “typing a new spoken word” is training data. (a) False (b) True
21. 21.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) what training builds (d) past weather records
22. 22.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
23. 23.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
26. 26.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) the learned patterns (d) past weather records
27. 27.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
28. 28.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
31. 31.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
35. 35.True or false: “past weather records” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
39. 39.Which of these is training data? (a) the learned patterns (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program

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