AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 82 · 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.⏩ 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
3. 3.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) flagging a new email (d) the learned patterns
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
6. 6.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) labelled fruit photos (d) flagging a new email
7. 7.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) what training builds (d) flagging a new email
8. 8.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
9. 9.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
11. 11.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
13. 13.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
14. 14.True or false: “labelled fruit photos” is the model. (a) False (b) True
15. 15.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) naming a new leaf
16. 16.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
17. 17.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
18. 18.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
19. 19.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
21. 21.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
22. 22.⏩ 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
23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “the trained program” is a prediction. (a) True (b) False
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “old emails marked spam” is a prediction. (a) False (b) True
30. 30.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
32. 32.⏩ 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
33. 33.True or false: “old emails marked spam” is the model. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
37. 37.True or false: “naming a new leaf” is training data. (a) False (b) True
38. 38.True or false: “naming a new leaf” is a prediction. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email

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