AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 576 · 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: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
3. 3.True or false: “typing a new spoken word” is the model. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
5. 5.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
6. 6.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
9. 9.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
10. 10.Which of these is training data? (a) flagging a new email (b) the trained program (c) past weather records (d) what training builds
11. 11.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) recorded spoken words (d) past weather records
12. 12.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
13. 13.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) the trained program (d) old emails marked spam
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
17. 17.True or false: “labelled fruit photos” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) naming a new leaf (d) 500 labelled leaf photos
20. 20.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
23. 23.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is the model? (a) past weather records (b) recorded spoken words (c) the trained program (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “old emails marked spam” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
30. 30.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) the learned patterns (d) typing a new spoken word
31. 31.True or false: “the learned patterns” is the model. (a) False (b) True
32. 32.⏩ 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
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
36. 36.⏩ 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
37. 37.True or false: “naming a new fruit photo” is the model. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) naming a new leaf (d) the trained program

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