AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 223 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
3. 3.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
5. 5.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
8. 8.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) naming a new leaf (d) the trained program
9. 9.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) recorded spoken words (d) old emails marked spam
10. 10.True or false: “recorded spoken words” is a prediction. (a) False (b) True
11. 11.True or false: “naming a new leaf” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
13. 13.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
15. 15.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) 500 labelled leaf photos (d) what training builds
18. 18.True or false: “past weather records” is the model. (a) False (b) True
19. 19.⏩ 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
20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
22. 22.True or false: “naming a new fruit photo” is training data. (a) True (b) False
23. 23.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) typing a new spoken word (d) tomorrow’s rain guess
24. 24.True or false: “what training builds” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
27. 27.True or false: “the learned patterns” is the model. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “naming a new leaf” is a prediction. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
33. 33.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) old emails marked spam
34. 34.⏩ 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
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.True or false: “the learned patterns” is training data. (a) True (b) False
37. 37.True or false: “old emails marked spam” is a prediction. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data

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