AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 234 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
3. 3.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
4. 4.Which of these is a prediction? (a) the trained program (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
5. 5.Which of these is a prediction? (a) labelled fruit photos (b) naming a new fruit photo (c) old emails marked spam (d) the trained program
6. 6.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) labelled fruit photos
7. 7.⏩ 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
8. 8.True or false: “what training builds” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
13. 13.True or false: “old emails marked spam” is the model. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
15. 15.Which of these is training data? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) what training builds
16. 16.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
17. 17.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) old emails marked spam (d) labelled fruit photos
18. 18.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) 500 labelled leaf photos
19. 19.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
20. 20.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
21. 21.Which of these is the model? (a) the trained program (b) past weather records (c) old emails marked spam (d) naming a new fruit photo
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
24. 24.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
25. 25.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
27. 27.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
28. 28.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
29. 29.⏩ 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
30. 30.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
31. 31.True or false: “the trained program” is the model. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
33. 33.True or false: “recorded spoken words” is a prediction. (a) False (b) True
34. 34.True or false: “past weather records” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
36. 36.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
37. 37.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
38. 38.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) 500 labelled leaf photos
39. 39.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
40. 40.True or false: “the learned patterns” is training data. (a) False (b) True

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