AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 243 · 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) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) labelled fruit photos
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “flagging a new email” is the model. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
7. 7.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) naming a new leaf
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
10. 10.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
11. 11.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) past weather records
12. 12.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
13. 13.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) labelled fruit photos (d) old emails marked spam
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
18. 18.⏩ 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
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
20. 20.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) old emails marked spam
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) flagging a new email (d) the trained program
23. 23.🔮 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
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
28. 28.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
31. 31.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
32. 32.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new leaf (d) past weather records
33. 33.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) tomorrow’s rain guess (d) labelled fruit photos
34. 34.True or false: “what training builds” is the model. (a) False (b) True
35. 35.True or false: “typing a new spoken word” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
37. 37.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) recorded spoken words (d) typing a new spoken word
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
40. 40.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) naming a new fruit photo (d) what training builds

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