AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 498 · 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) a prediction (b) the model (c) training data
2. 2.True or false: “typing a new spoken word” is the model. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
4. 4.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
5. 5.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) the learned patterns (d) flagging a new email
6. 6.True or false: “what training builds” is training data. (a) True (b) False
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
8. 8.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
9. 9.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) labelled fruit photos (d) what training builds
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
11. 11.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
12. 12.True or false: “the learned patterns” is the model. (a) True (b) False
13. 13.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) the trained program (d) naming a new leaf
14. 14.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
15. 15.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
16. 16.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
17. 17.⏩ 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
18. 18.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
21. 21.Which of these is the model? (a) the trained program (b) recorded spoken words (c) labelled fruit photos (d) typing a new spoken word
22. 22.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
23. 23.True or false: “past weather records” is a prediction. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) past weather records (d) the trained program
26. 26.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
27. 27.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
28. 28.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
29. 29.⏩ 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
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
31. 31.True or false: “what training builds” is the model. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
34. 34.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
37. 37.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
38. 38.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
39. 39.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
40. 40.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos

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