AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 974 · 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.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
3. 3.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) labelled fruit photos (d) 500 labelled leaf photos
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
5. 5.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
6. 6.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) flagging a new email
7. 7.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
9. 9.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) past weather records
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
12. 12.Which of these is training data? (a) naming a new leaf (b) past weather records (c) typing a new spoken word (d) the trained program
13. 13.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
14. 14.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
15. 15.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
16. 16.⏩ 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
17. 17.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
18. 18.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
19. 19.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
20. 20.⏩ 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
21. 21.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
22. 22.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
23. 23.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
24. 24.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) the trained program
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
26. 26.True or false: “recorded spoken words” is the model. (a) False (b) True
27. 27.True or false: “flagging a new email” is a prediction. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
29. 29.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) past weather records (d) recorded spoken words
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) flagging a new email (c) labelled fruit photos (d) what training builds
32. 32.True or false: “the trained program” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
34. 34.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
37. 37.True or false: “typing a new spoken word” is the model. (a) False (b) True
38. 38.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
39. 39.True or false: “old emails marked spam” is training data. (a) False (b) True
40. 40.True or false: “the learned patterns” is the model. (a) True (b) False

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