AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 201 · 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 learned patterns or past weather records? (a) the learned patterns (b) past weather records
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
7. 7.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
8. 8.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
9. 9.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) labelled fruit photos (d) the trained program
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
12. 12.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
13. 13.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) recorded spoken words
14. 14.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
15. 15.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) 500 labelled leaf photos (d) typing a new spoken word
16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
18. 18.True or false: “old emails marked spam” is a prediction. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
20. 20.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the trained program (d) flagging a new email
23. 23.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) recorded spoken words
24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
25. 25.True or false: “naming a new leaf” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
27. 27.True or false: “recorded spoken words” is the model. (a) False (b) True
28. 28.⏩ 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
29. 29.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
30. 30.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
31. 31.True or false: “flagging a new email” is the model. (a) False (b) True
32. 32.⏩ 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
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.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
37. 37.True or false: “the trained program” is a prediction. (a) False (b) True
38. 38.True or false: “past weather records” is training data. (a) True (b) False
39. 39.⏩ 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
40. 40.Which of these is training data? (a) what training builds (b) the learned patterns (c) naming a new leaf (d) old emails marked spam

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