AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 736 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
2. 2.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
3. 3.True or false: “the learned patterns” is a prediction. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
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: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
8. 8.True or false: “the trained program” is training data. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
10. 10.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) naming a new fruit photo
11. 11.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new leaf
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
16. 16.True or false: “naming a new leaf” is a prediction. (a) False (b) True
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “old emails marked spam” is the model. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.True or false: “old emails marked spam” is training data. (a) False (b) True
21. 21.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
23. 23.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
27. 27.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
28. 28.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
29. 29.True or false: “naming a new fruit photo” is the model. (a) True (b) False
30. 30.Which of these is the model? (a) the trained program (b) recorded spoken words (c) past weather records (d) naming a new leaf
31. 31.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
34. 34.Which of these is training data? (a) the trained program (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
36. 36.True or false: “recorded spoken words” is training data. (a) True (b) False
37. 37.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) recorded spoken words (d) typing a new spoken word
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
40. 40.True or false: “the learned patterns” is training data. (a) True (b) False

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