AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 281 · 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: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
2. 2.True or false: “what training builds” is a prediction. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is the model? (a) naming a new fruit photo (b) typing a new spoken word (c) old emails marked spam (d) the learned patterns
6. 6.True or false: “past weather records” is training data. (a) True (b) False
7. 7.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
8. 8.True or false: “the learned patterns” is the model. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.True or false: “labelled fruit photos” is training data. (a) True (b) False
13. 13.🧪 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
14. 14.⏩ 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
15. 15.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
16. 16.Which of these is training data? (a) flagging a new email (b) past weather records (c) tomorrow’s rain guess (d) what training builds
17. 17.True or false: “the learned patterns” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
19. 19.True or false: “what training builds” is training data. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
21. 21.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) what training builds (d) 500 labelled leaf photos
22. 22.True or false: “naming a new fruit photo” is the model. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
26. 26.True or false: “flagging a new email” is a prediction. (a) True (b) False
27. 27.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
28. 28.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
29. 29.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
30. 30.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
33. 33.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) what training builds
34. 34.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
35. 35.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) typing a new spoken word (d) 500 labelled leaf photos
36. 36.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
38. 38.Which of these is training data? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) the trained program
39. 39.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email

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