AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 686 · 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) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
2. 2.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) old emails marked spam (d) 500 labelled leaf photos
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “recorded spoken words” is a prediction. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
7. 7.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
9. 9.True or false: “naming a new fruit photo” is the model. (a) False (b) True
10. 10.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
11. 11.Which of these is training data? (a) recorded spoken words (b) what training builds (c) naming a new leaf (d) flagging a new email
12. 12.⏩ 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
13. 13.True or false: “the learned patterns” is training data. (a) True (b) False
14. 14.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) past weather records (d) recorded spoken words
15. 15.True or false: “the trained program” is a prediction. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
19. 19.True or false: “old emails marked spam” is the model. (a) True (b) False
20. 20.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
21. 21.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
22. 22.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
25. 25.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) 500 labelled leaf photos
26. 26.⏩ 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
27. 27.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
28. 28.⏩ 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
29. 29.True or false: “what training builds” is the model. (a) False (b) True
30. 30.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
34. 34.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) what training builds (d) naming a new fruit photo
37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
40. 40.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns

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