AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 221 · 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.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) recorded spoken words (d) typing a new spoken word
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) typing a new spoken word (d) 500 labelled leaf photos
4. 4.True or false: “typing a new spoken word” is training data. (a) True (b) False
5. 5.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
6. 6.True or false: “the learned patterns” is training data. (a) False (b) True
7. 7.⏩ 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
8. 8.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) old emails marked spam (d) the trained program
9. 9.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) old emails marked spam
10. 10.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
11. 11.True or false: “labelled fruit photos” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
15. 15.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
16. 16.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
19. 19.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) the learned patterns (d) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
21. 21.True or false: “past weather records” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
24. 24.⏩ 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
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
27. 27.True or false: “flagging a new email” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) what training builds
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
30. 30.True or false: “flagging a new email” is training data. (a) False (b) True
31. 31.True or false: “recorded spoken words” is the model. (a) False (b) True
32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
34. 34.True or false: “the trained program” is a prediction. (a) False (b) True
35. 35.True or false: “the learned patterns” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
37. 37.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
38. 38.True or false: “old emails marked spam” is a prediction. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
40. 40.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email

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