AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 843 · 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: “past weather records”? (a) training data (b) the model (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
3. 3.🔮 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
4. 4.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
5. 5.True or false: “what training builds” is training data. (a) True (b) False
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
7. 7.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) naming a new fruit photo (d) the trained program
8. 8.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) 500 labelled leaf photos (d) labelled fruit photos
9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
10. 10.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
11. 11.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
12. 12.True or false: “naming a new fruit photo” is training data. (a) True (b) False
13. 13.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
14. 14.True or false: “recorded spoken words” is the model. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
16. 16.⏩ 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
17. 17.Which of these is training data? (a) what training builds (b) the trained program (c) flagging a new email (d) old emails marked spam
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
20. 20.True or false: “old emails marked spam” is the model. (a) True (b) False
21. 21.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) recorded spoken words (d) the trained program
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
23. 23.⏩ 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
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
26. 26.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
27. 27.True or false: “naming a new leaf” is a prediction. (a) False (b) True
28. 28.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) past weather records (d) typing a new spoken word
29. 29.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
31. 31.True or false: “flagging a new email” is a prediction. (a) False (b) True
32. 32.Which of these is training data? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) naming a new fruit photo
33. 33.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
34. 34.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
37. 37.Which of these is the model? (a) the learned patterns (b) typing a new spoken word (c) old emails marked spam (d) naming a new leaf
38. 38.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
39. 39.Which of these is the model? (a) recorded spoken words (b) naming a new leaf (c) past weather records (d) what training builds
40. 40.True or false: “typing a new spoken word” is training data. (a) True (b) False

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