AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 904 · 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) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) typing a new spoken word
2. 2.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
3. 3.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
4. 4.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
6. 6.⏩ 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
7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
8. 8.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
13. 13.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
14. 14.True or false: “old emails marked spam” is training data. (a) True (b) False
15. 15.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
16. 16.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
18. 18.True or false: “naming a new leaf” is a prediction. (a) True (b) False
19. 19.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
20. 20.True or false: “typing a new spoken word” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “what training builds” is a prediction. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
25. 25.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) 500 labelled leaf photos
26. 26.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) flagging a new email
27. 27.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
28. 28.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
32. 32.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) recorded spoken words (d) the learned patterns
33. 33.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) labelled fruit photos (d) the learned patterns
34. 34.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
37. 37.True or false: “what training builds” is training data. (a) False (b) True
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) labelled fruit photos
39. 39.Which of these is a prediction? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) naming a new leaf
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model

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