AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 804 · 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: “the trained program”? (a) training data (b) the model (c) a prediction
2. 2.Which of these is training data? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) tomorrow’s rain guess
3. 3.True or false: “past weather records” is training data. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
5. 5.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
6. 6.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
8. 8.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) naming a new fruit photo (d) past weather records
9. 9.True or false: “recorded spoken words” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
11. 11.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
12. 12.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
13. 13.True or false: “recorded spoken words” is training data. (a) True (b) False
14. 14.Which of these is the model? (a) old emails marked spam (b) the trained program (c) labelled fruit photos (d) naming a new leaf
15. 15.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
16. 16.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) tomorrow’s rain guess
17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
18. 18.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
19. 19.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
20. 20.True or false: “what training builds” is a prediction. (a) True (b) False
21. 21.⏩ 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
22. 22.True or false: “old emails marked spam” is the model. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
24. 24.🔮 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
25. 25.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) naming a new leaf (d) what training builds
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
27. 27.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) naming a new leaf
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.True or false: “naming a new leaf” is the model. (a) True (b) False
30. 30.True or false: “the trained program” is training data. (a) True (b) False
31. 31.True or false: “typing a new spoken word” is training data. (a) False (b) True
32. 32.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) the trained program (d) 500 labelled leaf photos
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
35. 35.True or false: “naming a new leaf” is training data. (a) False (b) True
36. 36.True or false: “flagging a new email” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
38. 38.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
39. 39.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data

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