AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 945 · 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.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) what training builds (d) old emails marked spam
2. 2.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
3. 3.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) the learned patterns
4. 4.True or false: “the trained program” is the model. (a) False (b) True
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) past weather records (d) typing a new spoken word
6. 6.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) the learned patterns (d) typing a new spoken word
7. 7.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
8. 8.True or false: “recorded spoken words” is a prediction. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
11. 11.Which of these is the model? (a) the trained program (b) old emails marked spam (c) labelled fruit photos (d) tomorrow’s rain guess
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
13. 13.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
16. 16.True or false: “flagging a new email” is a prediction. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
18. 18.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the trained program (d) flagging a new email
19. 19.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) naming a new fruit photo
20. 20.True or false: “naming a new fruit photo” is the model. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
22. 22.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
23. 23.True or false: “the trained program” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
25. 25.True or false: “flagging a new email” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
27. 27.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
29. 29.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
30. 30.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) 500 labelled leaf photos (d) what training builds
31. 31.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) naming a new leaf (d) labelled fruit photos
32. 32.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
34. 34.⏩ 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
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.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
37. 37.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) naming a new fruit photo
38. 38.True or false: “naming a new leaf” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
40. 40.⏩ 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

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