AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 479 · 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 a prediction? (a) what training builds (b) recorded spoken words (c) flagging a new email (d) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) naming a new fruit photo (d) old emails marked spam
4. 4.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
5. 5.⏩ 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
6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
7. 7.Which of these is a prediction? (a) 500 labelled leaf photos (b) recorded spoken words (c) naming a new leaf (d) what training builds
8. 8.True or false: “the learned patterns” is the model. (a) False (b) True
9. 9.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
10. 10.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
14. 14.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
15. 15.⏩ 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
16. 16.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
18. 18.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
21. 21.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
22. 22.True or false: “old emails marked spam” is training data. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
24. 24.True or false: “what training builds” is the model. (a) False (b) True
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
26. 26.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
27. 27.True or false: “the trained program” is the model. (a) True (b) False
28. 28.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) flagging a new email
29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
32. 32.Which of these is training data? (a) recorded spoken words (b) what training builds (c) naming a new fruit photo (d) naming a new leaf
33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
34. 34.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) typing a new spoken word
35. 35.True or false: “flagging a new email” is training data. (a) False (b) True
36. 36.True or false: “past weather records” is a prediction. (a) True (b) False
37. 37.Which of these is training data? (a) the trained program (b) what training builds (c) labelled fruit photos (d) the learned patterns
38. 38.True or false: “naming a new leaf” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
40. 40.True or false: “naming a new leaf” is a prediction. (a) True (b) False

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