AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 187 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
3. 3.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
6. 6.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) past weather records (d) the trained program
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
8. 8.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
9. 9.True or false: “old emails marked spam” is a prediction. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) the trained program (d) flagging a new email
16. 16.Which of these is training data? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) flagging a new email
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
18. 18.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
21. 21.⏩ 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
22. 22.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
23. 23.True or false: “labelled fruit photos” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
25. 25.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) the learned patterns (d) past weather records
26. 26.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) naming a new fruit photo
27. 27.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
29. 29.⏩ 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
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
33. 33.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
34. 34.True or false: “the trained program” is the model. (a) False (b) True
35. 35.Which of these is the model? (a) naming a new leaf (b) what training builds (c) flagging a new email (d) tomorrow’s rain guess
36. 36.Which of these is a prediction? (a) labelled fruit photos (b) naming a new leaf (c) past weather records (d) what training builds
37. 37.True or false: “recorded spoken words” is training data. (a) True (b) False
38. 38.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
39. 39.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
40. 40.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) labelled fruit photos (d) flagging a new email

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