AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 685 · 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) recorded spoken words (b) the learned patterns (c) naming a new fruit photo (d) the trained program
2. 2.True or false: “the trained program” is a prediction. (a) False (b) True
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
5. 5.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) tomorrow’s rain guess
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is the model? (a) flagging a new email (b) the trained program (c) naming a new leaf (d) recorded spoken words
8. 8.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
9. 9.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
10. 10.True or false: “past weather records” is the model. (a) False (b) True
11. 11.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
12. 12.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
13. 13.True or false: “the learned patterns” is a prediction. (a) False (b) True
14. 14.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “flagging a new email” is a prediction. (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.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
24. 24.Which of these is training data? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) what training builds
25. 25.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
26. 26.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) typing a new spoken word
27. 27.Which of these is training data? (a) 500 labelled leaf photos (b) typing a new spoken word (c) what training builds (d) the learned patterns
28. 28.⏩ 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
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is training data? (a) labelled fruit photos (b) what training builds (c) naming a new fruit photo (d) tomorrow’s rain guess
32. 32.True or false: “the trained program” is training data. (a) False (b) True
33. 33.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
34. 34.True or false: “old emails marked spam” is training data. (a) True (b) False
35. 35.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) old emails marked spam (d) flagging a new email
36. 36.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) old emails marked spam (d) naming a new fruit photo
37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) labelled fruit photos (d) old emails marked spam
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False

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