AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 917 · 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.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) the trained program (d) typing a new spoken word
3. 3.True or false: “the learned patterns” is a prediction. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
5. 5.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
6. 6.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) past weather records
7. 7.True or false: “recorded spoken words” is training data. (a) True (b) False
8. 8.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) the trained program
9. 9.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) recorded spoken words
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
11. 11.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) past weather records (d) old emails marked spam
12. 12.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
13. 13.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
18. 18.⏩ 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
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
20. 20.⏩ 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
21. 21.True or false: “flagging a new email” is training data. (a) True (b) False
22. 22.True or false: “naming a new fruit photo” is the model. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
27. 27.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
28. 28.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) labelled fruit photos
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) past weather records (d) the learned patterns
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
32. 32.True or false: “old emails marked spam” is a prediction. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) naming a new leaf (d) flagging a new email
36. 36.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
37. 37.True or false: “naming a new leaf” is the model. (a) False (b) True
38. 38.⏩ 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
39. 39.True or false: “labelled fruit photos” is training data. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words

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