AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 591 · 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: “old emails marked spam” is training data. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
3. 3.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
5. 5.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
6. 6.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) flagging a new email (d) the learned patterns
7. 7.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
8. 8.⏩ 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
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
10. 10.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new fruit photo (d) past weather records
12. 12.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
13. 13.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) flagging a new email
14. 14.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) past weather records (d) typing a new spoken word
15. 15.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) flagging a new email (d) what training builds
16. 16.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
17. 17.True or false: “the learned patterns” is the model. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
19. 19.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
20. 20.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
22. 22.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) past weather records (d) what training builds
23. 23.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
24. 24.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
25. 25.⏩ 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
26. 26.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) naming a new fruit photo (d) recorded spoken words
27. 27.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
29. 29.⏩ 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
30. 30.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) flagging a new email (d) recorded spoken words
32. 32.True or false: “labelled fruit photos” is training data. (a) True (b) False
33. 33.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
34. 34.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
38. 38.True or false: “typing a new spoken word” is training data. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
40. 40.True or false: “the learned patterns” is training data. (a) False (b) True

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