AI Worksheet: Training Data, Model, Prediction

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

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