AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 294 · 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: “500 labelled leaf photos” is a prediction. (a) True (b) False
2. 2.Which of these is training data? (a) the trained program (b) recorded spoken words (c) what training builds (d) naming a new fruit photo
3. 3.Which of these is training data? (a) the trained program (b) flagging a new email (c) tomorrow’s rain guess (d) old emails marked spam
4. 4.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the trained program (d) what training builds
8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
9. 9.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
10. 10.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
11. 11.True or false: “flagging a new email” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
13. 13.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) 500 labelled leaf photos (d) old emails marked spam
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
15. 15.True or false: “the trained program” is the model. (a) True (b) False
16. 16.True or false: “naming a new leaf” is a prediction. (a) False (b) True
17. 17.True or false: “recorded spoken words” is a prediction. (a) True (b) False
18. 18.True or false: “old emails marked spam” is a prediction. (a) False (b) True
19. 19.Which of these is a prediction? (a) naming a new leaf (b) what training builds (c) 500 labelled leaf photos (d) old emails marked spam
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
22. 22.⏩ 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
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
24. 24.Which of these is training data? (a) naming a new leaf (b) 500 labelled leaf photos (c) flagging a new email (d) what training builds
25. 25.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
26. 26.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
27. 27.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
28. 28.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
29. 29.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
30. 30.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
32. 32.True or false: “naming a new fruit photo” is the model. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
34. 34.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
35. 35.True or false: “old emails marked spam” is training data. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
37. 37.True or false: “naming a new leaf” is the model. (a) True (b) False
38. 38.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
39. 39.⏩ 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
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns

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