AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 288 · 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: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
2. 2.Which of these is the model? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) old emails marked spam
3. 3.⏩ 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
4. 4.True or false: “flagging a new email” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
6. 6.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
8. 8.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
9. 9.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
11. 11.True or false: “old emails marked spam” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “naming a new leaf” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
15. 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
17. 17.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) 500 labelled leaf photos
18. 18.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
19. 19.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
24. 24.Which of these is the model? (a) naming a new leaf (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
25. 25.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) old emails marked spam (d) flagging a new email
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “recorded spoken words” is training data. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
30. 30.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word
31. 31.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
35. 35.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
38. 38.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) naming a new leaf
39. 39.True or false: “the trained program” is training data. (a) True (b) False
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction

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