AI Worksheet: Training Data, Model, Prediction

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

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