AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 164 · 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 training data? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) flagging a new email
2. 2.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
4. 4.True or false: “recorded spoken words” is training data. (a) False (b) True
5. 5.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
7. 7.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
8. 8.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
9. 9.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) tomorrow’s rain guess (d) the trained program
10. 10.True or false: “what training builds” is training data. (a) True (b) False
11. 11.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) past weather records
12. 12.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
16. 16.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
18. 18.Which of these is training data? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) the trained program
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) what training builds (d) naming a new leaf
21. 21.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
22. 22.True or false: “the trained program” is a prediction. (a) True (b) False
23. 23.True or false: “the learned patterns” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “naming a new leaf” is a prediction. (a) False (b) True
26. 26.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) past weather records (d) typing a new spoken word
27. 27.Which of these is the model? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) naming a new fruit photo
28. 28.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
30. 30.True or false: “flagging a new email” is the model. (a) True (b) False
31. 31.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
32. 32.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) the trained program (d) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
34. 34.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
35. 35.True or false: “old emails marked spam” is a prediction. (a) False (b) True
36. 36.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
37. 37.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
40. 40.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the trained program (d) the learned patterns

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