AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 742 · 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.True or false: “flagging a new email” is a prediction. (a) False (b) True
2. 2.True or false: “labelled fruit photos” is training data. (a) True (b) False
3. 3.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) old emails marked spam
4. 4.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
5. 5.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) past weather records
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
9. 9.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) recorded spoken words (d) tomorrow’s rain guess
10. 10.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
11. 11.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) recorded spoken words (d) tomorrow’s rain guess
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
13. 13.True or false: “what training builds” is the model. (a) False (b) True
14. 14.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) old emails marked spam (d) recorded spoken words
15. 15.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
16. 16.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) the learned patterns (d) recorded spoken words
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) naming a new leaf (d) recorded spoken words
19. 19.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
21. 21.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) naming a new fruit photo (d) the trained program
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
26. 26.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
27. 27.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
28. 28.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) what training builds (d) recorded spoken words
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
32. 32.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
33. 33.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the learned patterns
34. 34.True or false: “past weather records” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
36. 36.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “old emails marked spam” is the model. (a) True (b) False
40. 40.True or false: “naming a new leaf” is training data. (a) True (b) False

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