AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 169 · 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) model, prediction, data (c) data, model, prediction (d) prediction, data, model
2. 2.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
4. 4.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
5. 5.True or false: “past weather records” is training data. (a) False (b) True
6. 6.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
7. 7.True or false: “labelled fruit photos” is training data. (a) False (b) True
8. 8.Which of these is the model? (a) past weather records (b) flagging a new email (c) what training builds (d) recorded spoken words
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
10. 10.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
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: “flagging a new email”? (a) the model (b) training data (c) a prediction
14. 14.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) recorded spoken words
15. 15.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
16. 16.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
18. 18.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
19. 19.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) tomorrow’s rain guess (d) past weather records
20. 20.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
21. 21.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
23. 23.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
26. 26.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
27. 27.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) the learned patterns (d) what training builds
28. 28.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
29. 29.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
30. 30.⏩ 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
31. 31.True or false: “naming a new leaf” is a prediction. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “the trained program” is a prediction. (a) False (b) True
34. 34.Which of these is the model? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) old emails marked spam
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
36. 36.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
37. 37.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
39. 39.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo

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