AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 835 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) flagging a new email
3. 3.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
4. 4.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
5. 5.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
8. 8.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
11. 11.True or false: “typing a new spoken word” is the model. (a) True (b) False
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) tomorrow’s rain guess (d) what training builds
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
15. 15.⏩ 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
16. 16.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) recorded spoken words
17. 17.True or false: “the learned patterns” is training data. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
20. 20.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
22. 22.Which of these is the model? (a) naming a new leaf (b) recorded spoken words (c) the trained program (d) flagging a new email
23. 23.True or false: “past weather records” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
27. 27.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
29. 29.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.⏩ 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
32. 32.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.True or false: “flagging a new email” is training data. (a) True (b) False
35. 35.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) tomorrow’s rain guess (d) old emails marked spam
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “flagging a new email” is a prediction. (a) False (b) True
38. 38.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
39. 39.True or false: “flagging a new email” is the model. (a) True (b) False
40. 40.Which of these is the model? (a) what training builds (b) old emails marked spam (c) recorded spoken words (d) labelled fruit photos

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