AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 339 · 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: “flagging a new email”? (a) a prediction (b) training data (c) the model
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
3. 3.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
4. 4.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
5. 5.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) past weather records (d) typing a new spoken word
6. 6.Which of these is training data? (a) what training builds (b) the trained program (c) labelled fruit photos (d) naming a new fruit photo
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
8. 8.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
11. 11.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
12. 12.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) the learned patterns (d) typing a new spoken word
13. 13.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
15. 15.True or false: “typing a new spoken word” is training data. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
17. 17.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
20. 20.True or false: “naming a new leaf” is a prediction. (a) False (b) True
21. 21.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) recorded spoken words (d) naming a new leaf
22. 22.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the trained program (d) what training builds
23. 23.True or false: “old emails marked spam” is the model. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
25. 25.True or false: “recorded spoken words” is training data. (a) False (b) True
26. 26.⏩ 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
27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
28. 28.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) old emails marked spam (d) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.True or false: “naming a new leaf” is the model. (a) True (b) False
32. 32.Which of these is a prediction? (a) past weather records (b) the trained program (c) 500 labelled leaf photos (d) typing a new spoken word
33. 33.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.True or false: “past weather records” is the model. (a) False (b) True
36. 36.True or false: “naming a new fruit photo” is training data. (a) True (b) False
37. 37.⏩ 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
38. 38.True or false: “naming a new fruit photo” is the model. (a) True (b) False
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
40. 40.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name

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