AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 775 · 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.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
5. 5.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
7. 7.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) tomorrow’s rain guess (d) typing a new spoken word
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
10. 10.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) recorded spoken words
11. 11.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
12. 12.True or false: “what training builds” is training data. (a) False (b) True
13. 13.Which of these is a prediction? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) the trained program
14. 14.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
15. 15.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) flagging a new email
16. 16.Which of these is training data? (a) the trained program (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
17. 17.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “recorded spoken words” is a prediction. (a) True (b) False
20. 20.True or false: “the learned patterns” is a prediction. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
22. 22.🔮 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
23. 23.True or false: “the learned patterns” is the model. (a) True (b) False
24. 24.True or false: “the trained program” is training data. (a) True (b) False
25. 25.Which of these is a prediction? (a) typing a new spoken word (b) past weather records (c) recorded spoken words (d) the trained program
26. 26.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
27. 27.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
31. 31.True or false: “flagging a new email” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
34. 34.True or false: “naming a new leaf” is a prediction. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
36. 36.⏩ 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
37. 37.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) the learned patterns (d) old emails marked spam
38. 38.Which of these is training data? (a) naming a new leaf (b) what training builds (c) the trained program (d) past weather records
39. 39.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
40. 40.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) flagging a new email

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