AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 327 · 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: “labelled fruit photos” is training data. (a) True (b) False
2. 2.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
3. 3.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) flagging a new email (d) past weather records
4. 4.True or false: “recorded spoken words” is training data. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) labelled fruit photos (d) 500 labelled leaf photos
7. 7.🔮 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
8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
12. 12.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) the trained program (d) naming a new leaf
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
14. 14.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) past weather records
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
16. 16.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
19. 19.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
22. 22.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
23. 23.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
24. 24.True or false: “old emails marked spam” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
27. 27.Which of these is training data? (a) the learned patterns (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
30. 30.⏩ 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
31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
32. 32.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
33. 33.True or false: “flagging a new email” is training data. (a) True (b) False
34. 34.Which of these is the model? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
35. 35.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
36. 36.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
38. 38.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
40. 40.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records

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