AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 577 · 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: “labelled fruit photos” is training data. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
3. 3.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
4. 4.True or false: “the trained program” is the model. (a) False (b) True
5. 5.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
6. 6.Which of these is training data? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) the trained program
7. 7.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
8. 8.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) the trained program (d) what training builds
9. 9.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
10. 10.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
11. 11.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) recorded spoken words (d) what training builds
12. 12.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
14. 14.True or false: “recorded spoken words” is the model. (a) False (b) True
15. 15.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
16. 16.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) typing a new spoken word (d) the trained program
17. 17.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
18. 18.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
19. 19.True or false: “labelled fruit photos” is the model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
21. 21.⏩ 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
22. 22.True or false: “what training builds” is the model. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
24. 24.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) the trained program (d) past weather records
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
32. 32.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
33. 33.True or false: “flagging a new email” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
36. 36.True or false: “recorded spoken words” is training data. (a) True (b) False
37. 37.⏩ 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
38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
40. 40.True or false: “flagging a new email” is the model. (a) False (b) True

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