AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 751 · 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.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
3. 3.True or false: “past weather records” is training data. (a) False (b) True
4. 4.Which of these is the model? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) flagging a new email
5. 5.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
6. 6.True or false: “what training builds” is the model. (a) True (b) False
7. 7.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
8. 8.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
9. 9.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
11. 11.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
12. 12.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) the learned patterns (d) recorded spoken words
13. 13.True or false: “past weather records” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
16. 16.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
17. 17.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
18. 18.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
21. 21.True or false: “the trained program” is a prediction. (a) False (b) True
22. 22.Which of these is a prediction? (a) typing a new spoken word (b) 500 labelled leaf photos (c) the trained program (d) the learned patterns
23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
24. 24.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
25. 25.True or false: “the learned patterns” is the model. (a) True (b) False
26. 26.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
27. 27.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
28. 28.Which of these is training data? (a) the trained program (b) the learned patterns (c) labelled fruit photos (d) what training builds
29. 29.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
32. 32.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) flagging a new email (d) recorded spoken words
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
34. 34.Which of these is the model? (a) the trained program (b) naming a new leaf (c) flagging a new email (d) naming a new fruit photo
35. 35.True or false: “naming a new leaf” is training data. (a) True (b) False
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: “recorded spoken words” is training data. (a) False (b) True
38. 38.Which of these is training data? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
40. 40.Which of these is training data? (a) what training builds (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo

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