AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 768 · 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) model, prediction, data (c) data, prediction, model (d) data, model, prediction
2. 2.Which of these is the model? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
5. 5.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
7. 7.True or false: “old emails marked spam” is training data. (a) False (b) True
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
10. 10.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
11. 11.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) typing a new spoken word (d) the learned patterns
12. 12.True or false: “past weather records” is a prediction. (a) True (b) False
13. 13.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
14. 14.⏩ 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
15. 15.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
16. 16.True or false: “past weather records” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
21. 21.True or false: “typing a new spoken word” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
23. 23.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) recorded spoken words
24. 24.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) labelled fruit photos
25. 25.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
28. 28.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
29. 29.True or false: “the trained program” is the model. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
31. 31.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
32. 32.True or false: “recorded spoken words” is a prediction. (a) True (b) False
33. 33.⏩ 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
34. 34.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
36. 36.True or false: “recorded spoken words” is training data. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
38. 38.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
39. 39.⏩ 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
40. 40.True or false: “old emails marked spam” is a prediction. (a) True (b) False

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