AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 630 · 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.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) old emails marked spam
2. 2.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) old emails marked spam (d) past weather records
3. 3.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
4. 4.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
5. 5.Which of these is the model? (a) typing a new spoken word (b) past weather records (c) flagging a new email (d) the learned patterns
6. 6.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
7. 7.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) past weather records (d) typing a new spoken word
8. 8.True or false: “what training builds” is training data. (a) False (b) True
9. 9.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
10. 10.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
11. 11.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
12. 12.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
15. 15.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
16. 16.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
19. 19.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
20. 20.🧪 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
21. 21.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
22. 22.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) old emails marked spam (d) the trained program
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
25. 25.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
28. 28.True or false: “what training builds” is the model. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
31. 31.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) what training builds (d) typing a new spoken word
32. 32.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
33. 33.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) naming a new leaf
35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
36. 36.True or false: “recorded spoken words” is the model. (a) True (b) False
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “old emails marked spam” is the model. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
40. 40.Which of these is a prediction? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) recorded spoken words (d) what training builds

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