AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 249 · 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.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
4. 4.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) naming a new leaf (d) 500 labelled leaf photos
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
6. 6.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
7. 7.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) naming a new fruit photo (d) what training builds
8. 8.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
9. 9.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
11. 11.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) labelled fruit photos
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
14. 14.True or false: “flagging a new email” is a prediction. (a) False (b) True
15. 15.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) tomorrow’s rain guess (d) naming a new leaf
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
17. 17.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) flagging a new email (d) typing a new spoken word
18. 18.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
22. 22.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
23. 23.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
24. 24.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
26. 26.True or false: “typing a new spoken word” is the model. (a) False (b) True
27. 27.⏩ 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
28. 28.True or false: “old emails marked spam” is the model. (a) True (b) False
29. 29.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
30. 30.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
31. 31.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “naming a new leaf” is the model. (a) True (b) False
35. 35.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
36. 36.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
37. 37.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
38. 38.True or false: “labelled fruit photos” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
40. 40.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns

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