AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 636 · 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) naming a new leaf (c) what training builds (d) old emails marked spam
2. 2.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
4. 4.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) the trained program (d) labelled fruit photos
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) the trained program
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
7. 7.⏩ 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
8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
10. 10.🧪 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
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.True or false: “labelled fruit photos” is the model. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “typing a new spoken word” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
16. 16.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
20. 20.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
21. 21.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) naming a new leaf
22. 22.True or false: “the trained program” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
24. 24.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
25. 25.True or false: “flagging a new email” is training data. (a) True (b) False
26. 26.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
27. 27.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) recorded spoken words
28. 28.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
30. 30.True or false: “the trained program” is training data. (a) False (b) True
31. 31.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) recorded spoken words (d) the trained program
32. 32.True or false: “the trained program” is the model. (a) False (b) True
33. 33.True or false: “naming a new leaf” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
35. 35.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
36. 36.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
37. 37.True or false: “recorded spoken words” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
39. 39.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
40. 40.Which of these is the model? (a) typing a new spoken word (b) 500 labelled leaf photos (c) labelled fruit photos (d) the learned patterns

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