AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 739 · 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: “what training builds” is the model. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
4. 4.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) flagging a new email (d) labelled fruit photos
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
7. 7.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
9. 9.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
12. 12.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
13. 13.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
14. 14.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
15. 15.True or false: “naming a new leaf” is a prediction. (a) False (b) True
16. 16.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
19. 19.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) naming a new fruit photo (d) past weather records
20. 20.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “naming a new leaf” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
28. 28.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) the trained program (d) flagging a new email
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
30. 30.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) recorded spoken words
31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
34. 34.True or false: “flagging a new email” is a prediction. (a) True (b) False
35. 35.True or false: “typing a new spoken word” is training data. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is training data. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
38. 38.True or false: “past weather records” is the model. (a) True (b) False
39. 39.True or false: “recorded spoken words” is training data. (a) False (b) True
40. 40.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program

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