AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 222 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
3. 3.True or false: “what training builds” is a prediction. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
5. 5.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) past weather records
6. 6.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) labelled fruit photos (d) recorded spoken words
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
8. 8.True or false: “naming a new fruit photo” is training data. (a) True (b) False
9. 9.True or false: “naming a new leaf” is the model. (a) False (b) True
10. 10.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) what training builds (d) recorded spoken words
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
15. 15.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
16. 16.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
17. 17.⏩ 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
18. 18.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) what training builds (d) flagging a new email
19. 19.True or false: “old emails marked spam” is a prediction. (a) False (b) True
20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) naming a new fruit photo (d) old emails marked spam
21. 21.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
22. 22.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) the trained program
23. 23.True or false: “what training builds” is the model. (a) True (b) False
24. 24.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) past weather records (d) naming a new leaf
25. 25.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) tomorrow’s rain guess
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
27. 27.⏩ 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
28. 28.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
30. 30.⏩ 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
31. 31.True or false: “the trained program” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
33. 33.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
34. 34.⏩ 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
35. 35.Which of these is training data? (a) what training builds (b) naming a new leaf (c) tomorrow’s rain guess (d) labelled fruit photos
36. 36.True or false: “old emails marked spam” is training data. (a) True (b) False
37. 37.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
39. 39.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
40. 40.Which of these is training data? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) the learned patterns

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