AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 110 · 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: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
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.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
4. 4.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
7. 7.True or false: “what training builds” is training data. (a) True (b) False
8. 8.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
9. 9.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
10. 10.Which of these is the model? (a) the learned patterns (b) 500 labelled leaf photos (c) old emails marked spam (d) tomorrow’s rain guess
11. 11.⏩ 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
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
13. 13.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
15. 15.True or false: “past weather records” is training data. (a) True (b) False
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
17. 17.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
18. 18.Which of these is the model? (a) recorded spoken words (b) what training builds (c) labelled fruit photos (d) typing a new spoken word
19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the trained program (d) recorded spoken words
20. 20.True or false: “old emails marked spam” is the model. (a) True (b) False
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
23. 23.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
24. 24.True or false: “recorded spoken words” is a prediction. (a) False (b) True
25. 25.True or false: “naming a new fruit photo” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “recorded spoken words” is training data. (a) True (b) False
28. 28.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
29. 29.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
31. 31.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
33. 33.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) past weather records
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
36. 36.Which of these is training data? (a) the learned patterns (b) what training builds (c) old emails marked spam (d) flagging a new email
37. 37.⏩ 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
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
40. 40.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) old emails marked spam (d) the trained program

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