AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 862 · 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) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
2. 2.True or false: “naming a new fruit photo” is the model. (a) True (b) False
3. 3.⏩ 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
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
7. 7.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) past weather records (d) tomorrow’s rain guess
8. 8.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) what training builds
9. 9.True or false: “typing a new spoken word” is training data. (a) True (b) False
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
13. 13.🧪 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
14. 14.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
15. 15.Which of these is the model? (a) what training builds (b) old emails marked spam (c) recorded spoken words (d) typing a new spoken word
16. 16.True or false: “recorded spoken words” is a prediction. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
19. 19.Which of these is a prediction? (a) the trained program (b) what training builds (c) flagging a new email (d) past weather records
20. 20.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
21. 21.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) the trained program (d) old emails marked spam
22. 22.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
23. 23.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
25. 25.⏩ 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
26. 26.Which of these is the model? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
27. 27.True or false: “old emails marked spam” is the model. (a) False (b) True
28. 28.True or false: “naming a new fruit photo” is training data. (a) False (b) True
29. 29.⏩ 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
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
32. 32.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) the trained program (d) flagging a new email
33. 33.True or false: “flagging a new email” is the model. (a) False (b) True
34. 34.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) naming a new fruit photo
35. 35.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
36. 36.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) tomorrow’s rain guess
37. 37.True or false: “what training builds” is a prediction. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
40. 40.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password

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