AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 342 · 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 trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
2. 2.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
3. 3.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
4. 4.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) recorded spoken words (d) the trained program
5. 5.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) what training builds (d) the trained program
6. 6.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
7. 7.Which of these is training data? (a) the trained program (b) the learned patterns (c) past weather records (d) typing a new spoken word
8. 8.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
9. 9.True or false: “naming a new fruit photo” is training data. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
14. 14.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
15. 15.True or false: “flagging a new email” is a prediction. (a) True (b) False
16. 16.⏩ 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
17. 17.True or false: “what training builds” is the model. (a) False (b) True
18. 18.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) typing a new spoken word (d) tomorrow’s rain guess
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
21. 21.True or false: “old emails marked spam” is a prediction. (a) False (b) True
22. 22.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) the trained program (d) flagging a new email
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
25. 25.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
26. 26.Which of these is training data? (a) old emails marked spam (b) what training builds (c) naming a new leaf (d) the learned patterns
27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.True or false: “past weather records” is a prediction. (a) True (b) False
30. 30.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
32. 32.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
34. 34.True or false: “labelled fruit photos” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
37. 37.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
40. 40.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) naming a new fruit photo (d) old emails marked spam

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