AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 925 · 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: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
4. 4.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
5. 5.True or false: “the trained program” is training data. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
7. 7.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) naming a new fruit photo (d) typing a new spoken word
8. 8.True or false: “recorded spoken words” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
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.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) 500 labelled leaf photos
17. 17.True or false: “old emails marked spam” is a prediction. (a) True (b) False
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) the learned patterns
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
23. 23.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
24. 24.True or false: “labelled fruit photos” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
26. 26.True or false: “naming a new leaf” is training data. (a) True (b) False
27. 27.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
28. 28.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
31. 31.Which of these is training data? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) flagging a new email
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
33. 33.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) 500 labelled leaf photos (d) recorded spoken words
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
35. 35.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
36. 36.True or false: “labelled fruit photos” is the model. (a) False (b) True
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction

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