AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 440 · 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: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
3. 3.True or false: “recorded spoken words” is the model. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
7. 7.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
8. 8.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
9. 9.🔮 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
10. 10.True or false: “labelled fruit photos” is training data. (a) True (b) False
11. 11.True or false: “naming a new leaf” is the model. (a) True (b) False
12. 12.True or false: “old emails marked spam” is the model. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
14. 14.True or false: “labelled fruit photos” is the model. (a) False (b) True
15. 15.Which of these is the model? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
16. 16.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) past weather records (d) typing a new spoken word
20. 20.⏩ 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
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.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.True or false: “flagging a new email” is a prediction. (a) True (b) False
24. 24.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
26. 26.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
27. 27.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
28. 28.True or false: “flagging a new email” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “what training builds” is the model. (a) False (b) True
31. 31.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
34. 34.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) tomorrow’s rain guess
35. 35.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new leaf (c) naming a new fruit photo (d) flagging a new email
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
37. 37.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
38. 38.⏩ 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
39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
40. 40.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower

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