AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 465 · 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) typing a new spoken word (b) the learned patterns (c) old emails marked spam (d) naming a new fruit photo
2. 2.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
3. 3.Which of these is the model? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) naming a new leaf
4. 4.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
6. 6.True or false: “the learned patterns” is the model. (a) True (b) False
7. 7.True or false: “typing a new spoken word” is the model. (a) False (b) True
8. 8.True or false: “naming a new fruit photo” is training data. (a) False (b) True
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
10. 10.True or false: “recorded spoken words” is a prediction. (a) False (b) True
11. 11.Which of these is the model? (a) naming a new leaf (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
12. 12.True or false: “labelled fruit photos” is training data. (a) True (b) False
13. 13.True or false: “the trained program” is a prediction. (a) False (b) True
14. 14.Which of these is a prediction? (a) past weather records (b) the trained program (c) flagging a new email (d) labelled fruit photos
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
18. 18.⏩ 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
19. 19.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
20. 20.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) the learned patterns (d) past weather records
21. 21.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
23. 23.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) naming a new fruit photo (d) what training builds
24. 24.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
27. 27.True or false: “the trained program” is training data. (a) True (b) False
28. 28.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
29. 29.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) recorded spoken words (d) 500 labelled leaf photos
32. 32.True or false: “old emails marked spam” is the model. (a) False (b) True
33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
35. 35.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
36. 36.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
38. 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
39. 39.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction

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