AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 719 · 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.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
2. 2.True or false: “the trained program” is training data. (a) True (b) False
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
5. 5.🧪 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
6. 6.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
9. 9.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
10. 10.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
11. 11.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
13. 13.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
14. 14.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
15. 15.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) past weather records
16. 16.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
17. 17.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is training data? (a) naming a new leaf (b) the trained program (c) recorded spoken words (d) the learned patterns
19. 19.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the trained program (d) past weather records
22. 22.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
23. 23.🔮 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
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
25. 25.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
26. 26.True or false: “naming a new leaf” is the model. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
28. 28.True or false: “flagging a new email” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
30. 30.Which of these is training data? (a) what training builds (b) the trained program (c) tomorrow’s rain guess (d) past weather records
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
34. 34.True or false: “the trained program” is a prediction. (a) True (b) False
35. 35.True or false: “the trained program” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
38. 38.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
39. 39.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
40. 40.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records

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