AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 611 · 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.Which of these is training data? (a) flagging a new email (b) the trained program (c) the learned patterns (d) old emails marked spam
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
6. 6.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
8. 8.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
9. 9.True or false: “flagging a new email” is the model. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
11. 11.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) past weather records (d) what training builds
12. 12.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) the learned patterns (d) flagging a new email
13. 13.Which of these is training data? (a) naming a new leaf (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “flagging a new email” is training data. (a) True (b) False
16. 16.True or false: “naming a new leaf” is the model. (a) True (b) False
17. 17.True or false: “typing a new spoken word” is training data. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “what training builds” is a prediction. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
21. 21.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
25. 25.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
26. 26.Which of these is training data? (a) the trained program (b) naming a new leaf (c) labelled fruit photos (d) tomorrow’s rain guess
27. 27.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) the learned patterns (d) labelled fruit photos
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) recorded spoken words
29. 29.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
30. 30.Which of these is a prediction? (a) typing a new spoken word (b) the trained program (c) past weather records (d) old emails marked spam
31. 31.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
35. 35.⏩ 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
36. 36.True or false: “what training builds” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
40. 40.True or false: “what training builds” is training data. (a) True (b) False

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