AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 209 · 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 prints labels (b) it takes photos (c) it learns patterns (d) it charges up
2. 2.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
3. 3.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
5. 5.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) tomorrow’s rain guess
6. 6.True or false: “the trained program” is training data. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
9. 9.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) flagging a new email (d) past weather records
10. 10.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
11. 11.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) the learned patterns (d) 500 labelled leaf photos
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
15. 15.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) the trained program (d) naming a new fruit photo
16. 16.True or false: “naming a new leaf” is training data. (a) False (b) True
17. 17.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
18. 18.True or false: “naming a new fruit photo” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
20. 20.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) what training builds
21. 21.True or false: “the learned patterns” is a prediction. (a) True (b) False
22. 22.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
23. 23.True or false: “typing a new spoken word” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
26. 26.True or false: “recorded spoken words” is training data. (a) False (b) True
27. 27.True or false: “the learned patterns” is the model. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) labelled fruit photos
32. 32.True or false: “the trained program” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) typing a new spoken word
34. 34.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) old emails marked spam (d) naming a new fruit photo
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
36. 36.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) typing a new spoken word (d) the learned patterns
37. 37.True or false: “old emails marked spam” is training data. (a) True (b) False
38. 38.True or false: “past weather records” is the model. (a) True (b) False
39. 39.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
40. 40.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program

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