AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 675 · 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.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
2. 2.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) flagging a new email (d) recorded spoken words
4. 4.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
5. 5.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
6. 6.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
8. 8.True or false: “labelled fruit photos” is training data. (a) True (b) False
9. 9.True or false: “what training builds” is the model. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
12. 12.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) recorded spoken words (d) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
14. 14.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
15. 15.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
17. 17.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
20. 20.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) flagging a new email (d) the trained program
21. 21.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
22. 22.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
23. 23.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) naming a new fruit photo
26. 26.True or false: “naming a new leaf” is a prediction. (a) True (b) False
27. 27.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
30. 30.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
31. 31.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) old emails marked spam (d) the trained program
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
33. 33.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
34. 34.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) naming a new fruit photo (d) what training builds
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
36. 36.True or false: “what training builds” is training data. (a) False (b) True
37. 37.⏩ 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
38. 38.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
40. 40.True or false: “typing a new spoken word” is training data. (a) False (b) True

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