AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 861 · 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) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
2. 2.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
4. 4.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) naming a new leaf
5. 5.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
6. 6.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
10. 10.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
11. 11.True or false: “old emails marked spam” is training data. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
13. 13.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
14. 14.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) what training builds (d) 500 labelled leaf photos
15. 15.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new leaf (d) past weather records
16. 16.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
17. 17.True or false: “naming a new fruit photo” is the model. (a) False (b) True
18. 18.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) naming a new leaf (d) the learned patterns
19. 19.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
21. 21.Which of these is a prediction? (a) the trained program (b) flagging a new email (c) labelled fruit photos (d) old emails marked spam
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.True or false: “recorded spoken words” is training data. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
25. 25.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) the trained program
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
27. 27.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
30. 30.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “what training builds” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
33. 33.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
34. 34.Which of these is the model? (a) old emails marked spam (b) the trained program (c) past weather records (d) recorded spoken words
35. 35.True or false: “what training builds” is the model. (a) False (b) True
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) old emails marked spam (d) 500 labelled leaf photos
37. 37.True or false: “recorded spoken words” is the model. (a) False (b) True
38. 38.True or false: “the trained program” is the model. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data

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