AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 930 · 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.True or false: “flagging a new email” is a prediction. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
4. 4.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
5. 5.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.True or false: “what training builds” is training data. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
10. 10.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
11. 11.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
13. 13.True or false: “the learned patterns” is a prediction. (a) False (b) True
14. 14.Which of these is a prediction? (a) past weather records (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
17. 17.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) past weather records
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
23. 23.Which of these is training data? (a) flagging a new email (b) past weather records (c) naming a new leaf (d) what training builds
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
25. 25.Which of these is training data? (a) the trained program (b) naming a new leaf (c) old emails marked spam (d) naming a new fruit photo
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) naming a new fruit photo (d) the trained program
30. 30.True or false: “the trained program” is a prediction. (a) True (b) False
31. 31.True or false: “the trained program” is the model. (a) False (b) True
32. 32.True or false: “naming a new fruit photo” is the model. (a) False (b) True
33. 33.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) typing a new spoken word (d) flagging a new email
34. 34.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
35. 35.True or false: “recorded spoken words” is training data. (a) True (b) False
36. 36.True or false: “naming a new leaf” is a prediction. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
38. 38.True or false: “old emails marked spam” is the model. (a) True (b) False
39. 39.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) typing a new spoken word
40. 40.True or false: “past weather records” is a prediction. (a) True (b) False

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