AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 669 · 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.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “the trained program” is the model. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
4. 4.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
5. 5.True or false: “what training builds” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
8. 8.Which of these is a prediction? (a) recorded spoken words (b) labelled fruit photos (c) tomorrow’s rain guess (d) the trained program
9. 9.Which of these is the model? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) old emails marked spam
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
11. 11.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
13. 13.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
14. 14.True or false: “naming a new leaf” is a prediction. (a) True (b) False
15. 15.True or false: “what training builds” is the model. (a) False (b) True
16. 16.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) 500 labelled leaf photos (d) tomorrow’s rain guess
17. 17.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
18. 18.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
22. 22.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
23. 23.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
24. 24.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
25. 25.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
26. 26.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) past weather records (d) old emails marked spam
27. 27.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
30. 30.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
31. 31.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) flagging a new email (d) labelled fruit photos
32. 32.True or false: “the trained program” is a prediction. (a) True (b) False
33. 33.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) past weather records
34. 34.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
35. 35.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
37. 37.True or false: “labelled fruit photos” is the model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
40. 40.True or false: “flagging a new email” is the model. (a) True (b) False

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