AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 737 · 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.True or false: “what training builds” is the model. (a) False (b) True
2. 2.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
4. 4.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
6. 6.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
7. 7.True or false: “typing a new spoken word” is the model. (a) False (b) True
8. 8.True or false: “flagging a new email” is a prediction. (a) True (b) False
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.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) recorded spoken words (d) flagging a new email
11. 11.Which of these is training data? (a) the learned patterns (b) what training builds (c) past weather records (d) naming a new leaf
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
13. 13.True or false: “past weather records” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
15. 15.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) tomorrow’s rain guess
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
17. 17.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
18. 18.True or false: “the learned patterns” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
23. 23.True or false: “old emails marked spam” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
25. 25.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) the trained program (d) labelled fruit photos
26. 26.True or false: “old emails marked spam” is a prediction. (a) True (b) False
27. 27.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) labelled fruit photos
28. 28.⏩ 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
29. 29.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) labelled fruit photos
30. 30.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
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.True or false: “typing a new spoken word” is training data. (a) True (b) False
36. 36.True or false: “the trained program” is the model. (a) False (b) True
37. 37.Which of these is the model? (a) recorded spoken words (b) what training builds (c) flagging a new email (d) old emails marked spam
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
39. 39.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
40. 40.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False

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