AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 740 · 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) tomorrow’s rain guess (b) naming a new leaf (c) the trained program (d) 500 labelled leaf photos
2. 2.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) flagging a new email (d) naming a new leaf
3. 3.True or false: “what training builds” is training data. (a) False (b) True
4. 4.True or false: “naming a new fruit photo” is the model. (a) False (b) True
5. 5.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
6. 6.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) past weather records (d) typing a new spoken word
7. 7.⏩ 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
8. 8.True or false: “naming a new leaf” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
11. 11.True or false: “past weather records” is a prediction. (a) True (b) False
12. 12.Which of these is training data? (a) labelled fruit photos (b) typing a new spoken word (c) flagging a new email (d) the trained program
13. 13.True or false: “flagging a new email” is the model. (a) True (b) False
14. 14.Which of these is training data? (a) naming a new leaf (b) past weather records (c) the learned patterns (d) the trained program
15. 15.True or false: “naming a new leaf” is a prediction. (a) True (b) False
16. 16.Which of these is training data? (a) the trained program (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
17. 17.Which of these is a prediction? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) recorded spoken words
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
19. 19.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
20. 20.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
21. 21.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
22. 22.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
23. 23.True or false: “flagging a new email” is a prediction. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
26. 26.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
27. 27.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) labelled fruit photos
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
32. 32.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) typing a new spoken word (d) what training builds
33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
34. 34.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
37. 37.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
39. 39.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new leaf (d) past weather records
40. 40.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess

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