AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 529 · 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: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
2. 2.🔮 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
3. 3.True or false: “the trained program” is training data. (a) True (b) False
4. 4.True or false: “old emails marked spam” is a prediction. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
8. 8.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the learned patterns (d) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
10. 10.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
12. 12.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
13. 13.True or false: “what training builds” is training data. (a) False (b) True
14. 14.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) tomorrow’s rain guess (d) what training builds
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
16. 16.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
19. 19.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) flagging a new email
20. 20.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
22. 22.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
25. 25.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
26. 26.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
27. 27.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “typing a new spoken word” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
34. 34.Which of these is a prediction? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
37. 37.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) typing a new spoken word (d) flagging a new email
38. 38.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) the trained program
39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
40. 40.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) past weather records (d) flagging a new email

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