AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 118 · 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: “the trained program”? (a) a prediction (b) the model (c) training data
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
3. 3.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
4. 4.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) the trained program
5. 5.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) flagging a new email (d) what training builds
6. 6.True or false: “old emails marked spam” is a prediction. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
8. 8.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
11. 11.True or false: “recorded spoken words” is the model. (a) True (b) False
12. 12.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) what training builds (d) past weather records
13. 13.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) recorded spoken words
14. 14.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) recorded spoken words (d) past weather records
15. 15.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) the learned patterns (d) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
17. 17.True or false: “what training builds” is a prediction. (a) True (b) False
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
25. 25.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
26. 26.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
27. 27.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
28. 28.Which of these is the model? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
31. 31.True or false: “typing a new spoken word” is training data. (a) False (b) True
32. 32.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) naming a new leaf (d) 500 labelled leaf photos
33. 33.⏩ 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
34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
35. 35.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
38. 38.True or false: “typing a new spoken word” is the model. (a) True (b) False
39. 39.True or false: “old emails marked spam” is the model. (a) True (b) False
40. 40.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) what training builds

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