AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 61 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
2. 2.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
6. 6.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
8. 8.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
12. 12.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
13. 13.True or false: “naming a new leaf” is training data. (a) False (b) True
14. 14.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
15. 15.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
16. 16.True or false: “the trained program” is a prediction. (a) False (b) True
17. 17.Which of these is training data? (a) flagging a new email (b) the trained program (c) what training builds (d) past weather records
18. 18.True or false: “recorded spoken words” is training data. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
21. 21.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) recorded spoken words
22. 22.True or false: “naming a new leaf” is the model. (a) False (b) True
23. 23.True or false: “flagging a new email” is the model. (a) True (b) False
24. 24.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
25. 25.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
26. 26.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
27. 27.Which of these is the model? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) naming a new fruit photo
28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) old emails marked spam
30. 30.True or false: “past weather records” is the model. (a) True (b) False
31. 31.True or false: “what training builds” is a prediction. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
33. 33.Which of these is the model? (a) what training builds (b) past weather records (c) tomorrow’s rain guess (d) naming a new fruit photo
34. 34.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
36. 36.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
38. 38.True or false: “naming a new fruit photo” is training data. (a) False (b) True
39. 39.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) the learned patterns (d) labelled fruit photos
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model

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