AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 317 · 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, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
3. 3.True or false: “what training builds” is a prediction. (a) True (b) False
4. 4.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
5. 5.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
9. 9.True or false: “past weather records” is training data. (a) False (b) True
10. 10.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
11. 11.🧪 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
12. 12.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is the model? (a) past weather records (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
16. 16.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) typing a new spoken word (d) the trained program
17. 17.True or false: “naming a new fruit photo” is the model. (a) True (b) False
18. 18.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
19. 19.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
20. 20.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) typing a new spoken word
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
23. 23.True or false: “the learned patterns” is training data. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
25. 25.Which of these is training data? (a) what training builds (b) the trained program (c) naming a new fruit photo (d) labelled fruit photos
26. 26.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) naming a new fruit photo (d) old emails marked spam
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
29. 29.⏩ 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
30. 30.True or false: “recorded spoken words” is a prediction. (a) False (b) True
31. 31.Which of these is training data? (a) what training builds (b) the trained program (c) past weather records (d) the learned patterns
32. 32.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
33. 33.True or false: “what training builds” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
35. 35.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
36. 36.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
38. 38.⏩ 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
39. 39.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess

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