AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 122 · 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.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) typing a new spoken word
4. 4.Which of these is the model? (a) the learned patterns (b) past weather records (c) typing a new spoken word (d) flagging a new email
5. 5.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
6. 6.True or false: “what training builds” is training data. (a) True (b) False
7. 7.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) tomorrow’s rain guess (d) old emails marked spam
8. 8.Which of these is the model? (a) old emails marked spam (b) flagging a new email (c) recorded spoken words (d) what training builds
9. 9.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
10. 10.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) what training builds (d) typing a new spoken word
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
12. 12.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
13. 13.🧪 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
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
17. 17.⏩ 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
18. 18.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
19. 19.Which of these is a prediction? (a) tomorrow’s rain guess (b) recorded spoken words (c) past weather records (d) what training builds
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
21. 21.True or false: “old emails marked spam” is a prediction. (a) True (b) False
22. 22.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) 500 labelled leaf photos
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
25. 25.True or false: “flagging a new email” is training data. (a) False (b) True
26. 26.True or false: “the learned patterns” is a prediction. (a) False (b) True
27. 27.Which of these is a prediction? (a) naming a new fruit photo (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
28. 28.True or false: “naming a new leaf” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
30. 30.Which of these is training data? (a) the trained program (b) what training builds (c) labelled fruit photos (d) the learned patterns
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
34. 34.Which of these is the model? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) 500 labelled leaf photos
35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
36. 36.True or false: “the trained program” is a prediction. (a) True (b) False
37. 37.True or false: “past weather records” is a prediction. (a) True (b) False
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
40. 40.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) naming a new fruit photo (d) past weather records

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