AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 237 · 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: “old emails marked spam” is training data. (a) True (b) False
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) the trained program
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
4. 4.🔮 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
5. 5.Which of these is a prediction? (a) past weather records (b) what training builds (c) flagging a new email (d) the learned patterns
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
7. 7.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
8. 8.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
9. 9.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) recorded spoken words (d) 500 labelled leaf photos
10. 10.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
11. 11.True or false: “what training builds” is a prediction. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) typing a new spoken word
13. 13.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
14. 14.True or false: “naming a new leaf” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
17. 17.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
18. 18.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
19. 19.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
21. 21.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
24. 24.True or false: “typing a new spoken word” is training data. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
29. 29.True or false: “flagging a new email” is a prediction. (a) False (b) True
30. 30.True or false: “the trained program” is training data. (a) True (b) False
31. 31.🧪 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
32. 32.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
35. 35.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) typing a new spoken word (d) what training builds
36. 36.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
37. 37.True or false: “the learned patterns” is training data. (a) True (b) False
38. 38.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) 500 labelled leaf photos (d) what training builds
39. 39.True or false: “naming a new fruit photo” is the model. (a) True (b) False
40. 40.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) what training builds

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