AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 596 · 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: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
2. 2.Which of these is the model? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) 500 labelled leaf photos
3. 3.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
4. 4.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
5. 5.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
8. 8.⏩ 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
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
12. 12.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
13. 13.True or false: “past weather records” is the model. (a) False (b) True
14. 14.True or false: “old emails marked spam” is training data. (a) True (b) False
15. 15.Which of these is training data? (a) flagging a new email (b) the trained program (c) 500 labelled leaf photos (d) naming a new leaf
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) labelled fruit photos (d) typing a new spoken word
18. 18.True or false: “the learned patterns” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is a prediction? (a) flagging a new email (b) 500 labelled leaf photos (c) past weather records (d) what training builds
24. 24.Which of these is a prediction? (a) the trained program (b) past weather records (c) the learned patterns (d) naming a new leaf
25. 25.True or false: “naming a new leaf” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
27. 27.True or false: “the trained program” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
30. 30.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
31. 31.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
32. 32.True or false: “the learned patterns” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
36. 36.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) labelled fruit photos
37. 37.Which of these is a prediction? (a) past weather records (b) the trained program (c) the learned patterns (d) naming a new fruit photo
38. 38.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) the trained program (d) past weather records
39. 39.Which of these is the model? (a) naming a new leaf (b) what training builds (c) old emails marked spam (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns

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