AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 214 · 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: “recorded spoken words”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
3. 3.True or false: “naming a new leaf” is training data. (a) False (b) True
4. 4.⏩ 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
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
6. 6.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the learned patterns (d) 500 labelled leaf photos
7. 7.Which of these is a prediction? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) what training builds
8. 8.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) the learned patterns
9. 9.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
11. 11.True or false: “recorded spoken words” is the model. (a) True (b) False
12. 12.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
14. 14.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
15. 15.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
17. 17.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
18. 18.True or false: “flagging a new email” is the model. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
20. 20.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) labelled fruit photos (d) flagging a new email
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
23. 23.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
25. 25.Which of these is training data? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) flagging a new email
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
27. 27.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) the trained program (d) old emails marked spam
28. 28.True or false: “flagging a new email” is training data. (a) True (b) False
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
30. 30.True or false: “labelled fruit photos” is training data. (a) False (b) True
31. 31.True or false: “recorded spoken words” is a prediction. (a) True (b) False
32. 32.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
33. 33.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
34. 34.True or false: “typing a new spoken word” is the model. (a) False (b) True
35. 35.True or false: “the trained program” is the model. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
37. 37.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
39. 39.Which of these is the model? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records

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