AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 482 · 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) the model (b) a prediction (c) training data
2. 2.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
3. 3.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) naming a new leaf (d) the trained program
4. 4.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) typing a new spoken word (d) the learned patterns
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) what training builds (d) past weather records
7. 7.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) flagging a new email (d) labelled fruit photos
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 past weather records? (a) what training builds (b) past weather records
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
12. 12.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
13. 13.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
14. 14.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
15. 15.True or false: “old emails marked spam” is training data. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
17. 17.True or false: “typing a new spoken word” is the model. (a) True (b) False
18. 18.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
19. 19.True or false: “the trained program” is the model. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
24. 24.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
25. 25.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) naming a new fruit photo (d) old emails marked spam
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
27. 27.Which of these is a prediction? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
28. 28.True or false: “naming a new leaf” is a prediction. (a) False (b) True
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
31. 31.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) what training builds
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
35. 35.⏩ 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
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
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.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
40. 40.True or false: “what training builds” is a prediction. (a) False (b) True

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