AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 126 · 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: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
2. 2.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
3. 3.⏩ 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
4. 4.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
9. 9.Which of these is the model? (a) tomorrow’s rain guess (b) the learned patterns (c) old emails marked spam (d) typing a new spoken word
10. 10.True or false: “old emails marked spam” is the model. (a) False (b) True
11. 11.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) labelled fruit photos (d) the trained program
12. 12.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
13. 13.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) past weather records
14. 14.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
15. 15.Which of these is training data? (a) naming a new leaf (b) typing a new spoken word (c) 500 labelled leaf photos (d) tomorrow’s rain guess
16. 16.True or false: “recorded spoken words” is the model. (a) True (b) False
17. 17.True or false: “the learned patterns” is training data. (a) True (b) False
18. 18.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
19. 19.True or false: “the learned patterns” is a prediction. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
21. 21.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
22. 22.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) labelled fruit photos (d) what training builds
23. 23.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) typing a new spoken word (d) labelled fruit photos
24. 24.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) flagging a new email (d) the trained program
25. 25.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) 500 labelled leaf photos (d) tomorrow’s rain guess
26. 26.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
27. 27.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
29. 29.True or false: “naming a new fruit photo” is the model. (a) True (b) False
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
31. 31.Which of these is the model? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) old emails marked spam
32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
33. 33.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
34. 34.🧪 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
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
37. 37.⏩ 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
38. 38.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) old emails marked spam (d) naming a new fruit photo
39. 39.True or false: “past weather records” is training data. (a) False (b) True
40. 40.True or false: “old emails marked spam” is training data. (a) False (b) True

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