AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 922 · 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: “what training builds” is a prediction. (a) False (b) True
2. 2.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
3. 3.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
4. 4.True or false: “the trained program” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new leaf (d) old emails marked spam
7. 7.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
8. 8.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
11. 11.⏩ 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
12. 12.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
13. 13.True or false: “naming a new leaf” is the model. (a) True (b) False
14. 14.Which of these is the model? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) typing a new spoken word
15. 15.⏩ 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
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (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.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
22. 22.True or false: “old emails marked spam” is a prediction. (a) True (b) False
23. 23.Which of these is the model? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) old emails marked spam
24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
26. 26.True or false: “past weather records” is training data. (a) False (b) True
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the trained program
28. 28.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) typing a new spoken word (d) what training builds
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
31. 31.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
32. 32.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
34. 34.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
35. 35.⏩ 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
36. 36.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
38. 38.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
39. 39.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
40. 40.True or false: “recorded spoken words” is training data. (a) True (b) False

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