AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 292 · 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 learned patterns”? (a) a prediction (b) the model (c) training data
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
3. 3.⏩ 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
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
5. 5.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) 500 labelled leaf photos
6. 6.🔮 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
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
8. 8.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) the trained program (d) what training builds
9. 9.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
10. 10.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
11. 11.Which of these is training data? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
14. 14.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
17. 17.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
18. 18.True or false: “flagging a new email” is a prediction. (a) True (b) False
19. 19.True or false: “naming a new leaf” is training data. (a) True (b) False
20. 20.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
21. 21.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
23. 23.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
24. 24.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
25. 25.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the learned patterns (d) the trained program
26. 26.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
28. 28.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
29. 29.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
30. 30.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
31. 31.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) recorded spoken words (d) naming a new fruit photo
32. 32.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
36. 36.True or false: “old emails marked spam” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
39. 39.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) naming a new leaf
40. 40.True or false: “the trained program” is the model. (a) False (b) True

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