AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 409 · 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.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
2. 2.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
5. 5.⏩ 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
6. 6.True or false: “flagging a new email” is a prediction. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
9. 9.True or false: “the trained program” is training data. (a) True (b) False
10. 10.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) naming a new leaf (d) recorded spoken words
11. 11.True or false: “old emails marked spam” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
14. 14.Which of these is a prediction? (a) flagging a new email (b) the trained program (c) what training builds (d) the learned patterns
15. 15.True or false: “the learned patterns” is the model. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “past weather records” is a prediction. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
20. 20.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
21. 21.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
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.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) labelled fruit photos (d) the learned patterns
25. 25.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
26. 26.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
27. 27.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
28. 28.True or false: “recorded spoken words” is training data. (a) False (b) True
29. 29.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) tomorrow’s rain guess (d) naming a new fruit photo
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
31. 31.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
32. 32.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
33. 33.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
34. 34.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) recorded spoken words
36. 36.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
39. 39.Which of these is training data? (a) past weather records (b) flagging a new email (c) what training builds (d) naming a new fruit photo
40. 40.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction

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