AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 618 · 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: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
2. 2.True or false: “old emails marked spam” is the model. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
4. 4.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
7. 7.True or false: “recorded spoken words” is a prediction. (a) False (b) True
8. 8.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
9. 9.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
10. 10.⏩ 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
11. 11.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) past weather records (d) typing a new spoken word
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
15. 15.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) flagging a new email (d) what training builds
16. 16.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) old emails marked spam (d) labelled fruit photos
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) the learned patterns (d) typing a new spoken word
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
23. 23.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
25. 25.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “old emails marked spam” is training data. (a) True (b) False
30. 30.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) the trained program (d) past weather records
31. 31.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) past weather records (d) flagging a new email
32. 32.True or false: “past weather records” is the model. (a) True (b) False
33. 33.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
34. 34.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new leaf (d) old emails marked spam
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
37. 37.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
38. 38.Which of these is the model? (a) naming a new leaf (b) past weather records (c) the trained program (d) old emails marked spam
39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) recorded spoken words (d) flagging a new email
40. 40.🧪 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

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