AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 652 · 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: “the trained program”? (a) training data (b) a prediction (c) the model
2. 2.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
5. 5.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) old emails marked spam
6. 6.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
7. 7.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
8. 8.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
9. 9.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
10. 10.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
11. 11.True or false: “typing a new spoken word” is training data. (a) False (b) True
12. 12.True or false: “old emails marked spam” is training data. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
15. 15.True or false: “labelled fruit photos” is the model. (a) True (b) False
16. 16.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
17. 17.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
20. 20.True or false: “the trained program” is the model. (a) False (b) True
21. 21.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) typing a new spoken word (d) what training builds
22. 22.True or false: “naming a new leaf” is the model. (a) False (b) True
23. 23.True or false: “recorded spoken words” is training data. (a) False (b) True
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
27. 27.True or false: “old emails marked spam” is the model. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
29. 29.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
30. 30.True or false: “past weather records” is the model. (a) False (b) True
31. 31.Which of these is training data? (a) flagging a new email (b) the trained program (c) naming a new leaf (d) past weather records
32. 32.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
34. 34.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
35. 35.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is a prediction? (a) naming a new leaf (b) labelled fruit photos (c) 500 labelled leaf photos (d) the learned patterns
38. 38.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) labelled fruit photos (d) the trained program
39. 39.True or false: “the trained program” is training data. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo

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