AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 242 · 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.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) flagging a new email (d) past weather records
2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
3. 3.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
5. 5.⏩ 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
6. 6.True or false: “past weather records” is the model. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
8. 8.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) recorded spoken words (d) past weather records
9. 9.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
11. 11.⏩ 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
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) recorded spoken words (d) naming a new leaf
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is the model? (a) recorded spoken words (b) typing a new spoken word (c) labelled fruit photos (d) the learned patterns
15. 15.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) past weather records (d) recorded spoken words
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
17. 17.⏩ 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
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
20. 20.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to make it slower (d) to change its name
21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
27. 27.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
28. 28.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
29. 29.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
30. 30.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
31. 31.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
34. 34.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
36. 36.⏩ 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
37. 37.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
38. 38.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
39. 39.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) tomorrow’s rain guess (d) the learned patterns
40. 40.True or false: “what training builds” is training data. (a) True (b) False

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