AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 950 · 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.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
2. 2.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
3. 3.True or false: “typing a new spoken word” is training data. (a) False (b) True
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
5. 5.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
6. 6.True or false: “old emails marked spam” is the model. (a) True (b) False
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
9. 9.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
12. 12.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
13. 13.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
15. 15.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
16. 16.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
17. 17.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
18. 18.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
22. 22.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
23. 23.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) tomorrow’s rain guess (d) what training builds
24. 24.Which of these is the model? (a) past weather records (b) the learned patterns (c) naming a new fruit photo (d) tomorrow’s rain guess
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.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
30. 30.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the trained program (d) past weather records
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) tomorrow’s rain guess (d) what training builds
33. 33.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) naming a new leaf (d) past weather records
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (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.True or false: “past weather records” is a prediction. (a) True (b) False
39. 39.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) past weather records (d) typing a new spoken word
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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