AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 557 · 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: “recorded spoken words” is the model. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
4. 4.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
5. 5.⏩ 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
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
7. 7.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) flagging a new email
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
10. 10.True or false: “what training builds” is the model. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
13. 13.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
14. 14.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
15. 15.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
16. 16.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) typing a new spoken word (d) the trained program
17. 17.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
18. 18.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
19. 19.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
24. 24.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) naming a new fruit photo (d) old emails marked spam
25. 25.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the learned patterns (d) recorded spoken words
26. 26.True or false: “typing a new spoken word” is training data. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
28. 28.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
29. 29.True or false: “old emails marked spam” is the model. (a) False (b) True
30. 30.True or false: “naming a new leaf” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
32. 32.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) recorded spoken words
33. 33.True or false: “past weather records” is the model. (a) False (b) True
34. 34.True or false: “the learned patterns” is training data. (a) False (b) True
35. 35.Which of these is training data? (a) past weather records (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
36. 36.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
37. 37.⏩ 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
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos

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