AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 395 · 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.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
2. 2.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
5. 5.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
6. 6.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
8. 8.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
9. 9.True or false: “typing a new spoken word” is training data. (a) False (b) True
10. 10.Which of these is the model? (a) labelled fruit photos (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds
11. 11.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) flagging a new email (d) the trained program
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
13. 13.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
14. 14.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
15. 15.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
16. 16.⏩ 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
17. 17.True or false: “flagging a new email” is a prediction. (a) True (b) False
18. 18.⏩ 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
19. 19.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) naming a new leaf (b) the trained program (c) old emails marked spam (d) the learned patterns
22. 22.⏩ 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
23. 23.Which of these is the model? (a) old emails marked spam (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
24. 24.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
25. 25.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) past weather records
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
27. 27.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) what training builds (d) the trained program
28. 28.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
30. 30.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) typing a new spoken word
31. 31.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
33. 33.True or false: “naming a new fruit photo” is the model. (a) False (b) True
34. 34.True or false: “naming a new leaf” is the model. (a) True (b) False
35. 35.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
36. 36.True or false: “labelled fruit photos” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
38. 38.True or false: “what training builds” is a prediction. (a) False (b) True
39. 39.True or false: “flagging a new email” is training data. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model

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