AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 667 · 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.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
2. 2.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) past weather records (d) the learned patterns
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
5. 5.True or false: “typing a new spoken word” is training data. (a) True (b) False
6. 6.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
7. 7.True or false: “old emails marked spam” is training data. (a) True (b) False
8. 8.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
9. 9.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) naming a new leaf
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
13. 13.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
14. 14.True or false: “old emails marked spam” is the model. (a) True (b) False
15. 15.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) what training builds (d) recorded spoken words
16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
18. 18.True or false: “recorded spoken words” is training data. (a) False (b) True
19. 19.True or false: “naming a new leaf” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
22. 22.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
23. 23.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
24. 24.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) flagging a new email (d) 500 labelled leaf photos
25. 25.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
26. 26.True or false: “what training builds” is the model. (a) True (b) False
27. 27.True or false: “recorded spoken words” is a prediction. (a) True (b) False
28. 28.True or false: “the trained program” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
30. 30.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) recorded spoken words (d) naming a new fruit photo
31. 31.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) the learned patterns (d) typing a new spoken word
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
33. 33.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “past weather records” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
37. 37.True or false: “the learned patterns” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) 500 labelled leaf photos (d) what training builds

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