AI Worksheet: Training Data, Model, Prediction

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

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