AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 902 · 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.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) the trained program
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
4. 4.True or false: “naming a new leaf” is the model. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
6. 6.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) old emails marked spam
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
9. 9.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) recorded spoken words (d) what training builds
10. 10.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the learned patterns (d) recorded spoken words
11. 11.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
12. 12.True or false: “the trained program” is a prediction. (a) True (b) False
13. 13.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
16. 16.True or false: “what training builds” is the model. (a) True (b) False
17. 17.True or false: “labelled fruit photos” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
21. 21.True or false: “old emails marked spam” is the model. (a) True (b) False
22. 22.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) old emails marked spam (d) typing a new spoken word
23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
24. 24.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
25. 25.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
26. 26.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
27. 27.True or false: “labelled fruit photos” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) the trained program
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.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
31. 31.True or false: “flagging a new email” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
33. 33.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
35. 35.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
36. 36.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) flagging a new email (d) what training builds
37. 37.True or false: “naming a new fruit photo” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
40. 40.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds

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