AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 730 · 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 tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
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.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
6. 6.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) tomorrow’s rain guess (d) flagging a new email
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
9. 9.Which of these is training data? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) flagging a new email
10. 10.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
12. 12.🔮 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
13. 13.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
14. 14.True or false: “flagging a new email” is training data. (a) False (b) True
15. 15.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
16. 16.⏩ 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
17. 17.True or false: “the trained program” is training data. (a) True (b) False
18. 18.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
19. 19.True or false: “old emails marked spam” is training data. (a) False (b) True
20. 20.True or false: “labelled fruit photos” is the model. (a) True (b) False
21. 21.True or false: “flagging a new email” is a prediction. (a) False (b) True
22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) tomorrow’s rain guess
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
25. 25.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) typing a new spoken word (d) the trained program
26. 26.True or false: “recorded spoken words” is the model. (a) False (b) True
27. 27.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
28. 28.True or false: “flagging a new email” is the model. (a) False (b) True
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
32. 32.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
35. 35.True or false: “old emails marked spam” is the model. (a) True (b) False
36. 36.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
37. 37.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
40. 40.⏩ 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

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