AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 46 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) naming a new fruit photo (d) past weather records
3. 3.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
5. 5.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
6. 6.True or false: “past weather records” is training data. (a) True (b) False
7. 7.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
8. 8.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
9. 9.Which of these is training data? (a) the trained program (b) what training builds (c) naming a new fruit photo (d) recorded spoken words
10. 10.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
13. 13.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
15. 15.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
16. 16.True or false: “the trained program” is the model. (a) True (b) False
17. 17.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) naming a new leaf
18. 18.True or false: “recorded spoken words” is a prediction. (a) False (b) True
19. 19.True or false: “the learned patterns” is training data. (a) False (b) True
20. 20.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) labelled fruit photos
21. 21.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) the trained program
22. 22.Which of these is training data? (a) the trained program (b) naming a new leaf (c) the learned patterns (d) labelled fruit photos
23. 23.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) the trained program (d) typing a new spoken word
24. 24.True or false: “what training builds” is the model. (a) True (b) False
25. 25.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) labelled fruit photos (d) past weather records
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
29. 29.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
31. 31.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
34. 34.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
35. 35.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
36. 36.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
38. 38.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
40. 40.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess

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