AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 892 · 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.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
2. 2.⏩ 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
3. 3.True or false: “the learned patterns” is training data. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “recorded spoken words” is training data. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
14. 14.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
15. 15.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) the trained program (d) past weather records
16. 16.True or false: “recorded spoken words” is a prediction. (a) False (b) True
17. 17.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
20. 20.True or false: “labelled fruit photos” is the model. (a) False (b) True
21. 21.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
22. 22.True or false: “labelled fruit photos” is training data. (a) True (b) False
23. 23.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.True or false: “past weather records” is the model. (a) False (b) True
26. 26.True or false: “typing a new spoken word” is the model. (a) True (b) False
27. 27.True or false: “naming a new fruit photo” is training data. (a) False (b) True
28. 28.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) past weather records
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
30. 30.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
32. 32.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
34. 34.True or false: “past weather records” is a prediction. (a) True (b) False
35. 35.True or false: “flagging a new email” is the model. (a) True (b) False
36. 36.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) past weather records (d) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
38. 38.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
39. 39.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data

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