AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 951 · 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: “old emails marked spam”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is training data? (a) past weather records (b) flagging a new email (c) tomorrow’s rain guess (d) naming a new fruit photo
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
9. 9.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
10. 10.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) past weather records (d) what training builds
11. 11.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
15. 15.True or false: “past weather records” is the model. (a) False (b) True
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
18. 18.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) past weather records (d) 500 labelled leaf photos
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
22. 22.Which of these is training data? (a) labelled fruit photos (b) naming a new leaf (c) flagging a new email (d) the learned patterns
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
24. 24.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
26. 26.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
27. 27.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
30. 30.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) the learned patterns (d) naming a new fruit photo
31. 31.True or false: “the trained program” is training data. (a) False (b) True
32. 32.True or false: “the trained program” is a prediction. (a) True (b) False
33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
34. 34.⏩ 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
35. 35.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) labelled fruit photos (d) 500 labelled leaf photos
36. 36.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
37. 37.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) recorded spoken words (d) the trained program
38. 38.True or false: “naming a new fruit photo” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

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