AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 569 · 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: “typing a new spoken word” is a prediction. (a) True (b) False
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is the model? (a) old emails marked spam (b) the trained program (c) past weather records (d) naming a new fruit photo
4. 4.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
5. 5.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
7. 7.Which of these is training data? (a) old emails marked spam (b) what training builds (c) the learned patterns (d) flagging a new email
8. 8.⏩ 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
9. 9.True or false: “past weather records” is a prediction. (a) True (b) False
10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
12. 12.Which of these is a prediction? (a) the trained program (b) past weather records (c) naming a new leaf (d) labelled fruit photos
13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) flagging a new email (d) the trained program
16. 16.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) flagging a new email
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “flagging a new email” is training data. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
20. 20.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
21. 21.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) old emails marked spam (d) what training builds
22. 22.True or false: “recorded spoken words” is training data. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
24. 24.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) flagging a new email (d) typing a new spoken word
25. 25.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
26. 26.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new fruit photo (d) naming a new leaf
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
30. 30.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
31. 31.Which of these is training data? (a) typing a new spoken word (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “the trained program” is training data. (a) False (b) True
34. 34.True or false: “typing a new spoken word” is the model. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
36. 36.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
37. 37.True or false: “naming a new leaf” is the model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
39. 39.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
40. 40.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction

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