AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 326 · 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.⏩ 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
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: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
4. 4.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
5. 5.True or false: “what training builds” is the model. (a) True (b) False
6. 6.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) the trained program (d) typing a new spoken word
7. 7.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
8. 8.⏩ 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
9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
10. 10.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
12. 12.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
13. 13.Which of these is the model? (a) old emails marked spam (b) past weather records (c) the learned patterns (d) flagging a new email
14. 14.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
16. 16.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) what training builds
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
20. 20.Which of these is the model? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) past weather records
21. 21.⏩ 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
22. 22.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) what training builds (d) the trained program
23. 23.⏩ 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
24. 24.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess
25. 25.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “past weather records” is the model. (a) True (b) False
28. 28.True or false: “naming a new leaf” is the model. (a) True (b) False
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
32. 32.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
33. 33.True or false: “past weather records” is training data. (a) False (b) True
34. 34.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) 500 labelled leaf photos (d) naming a new fruit photo
35. 35.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
36. 36.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
39. 39.True or false: “the learned patterns” is a prediction. (a) False (b) True
40. 40.True or false: “the trained program” is a prediction. (a) True (b) False

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