AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 915 · 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.True or false: “flagging a new email” is a prediction. (a) False (b) True
2. 2.Which of these is the model? (a) old emails marked spam (b) past weather records (c) typing a new spoken word (d) the trained program
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
7. 7.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
8. 8.Which of these is a prediction? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) past weather records
9. 9.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) flagging a new email (d) what training builds
10. 10.True or false: “naming a new fruit photo” is training data. (a) True (b) False
11. 11.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
12. 12.Which of these is training data? (a) recorded spoken words (b) what training builds (c) flagging a new email (d) tomorrow’s rain guess
13. 13.True or false: “recorded spoken words” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
15. 15.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
17. 17.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
18. 18.Which of these is training data? (a) what training builds (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
19. 19.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
23. 23.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
24. 24.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
25. 25.True or false: “naming a new fruit photo” is the model. (a) True (b) False
26. 26.⏩ 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
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) past weather records
28. 28.🔮 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
29. 29.True or false: “naming a new leaf” is training data. (a) True (b) False
30. 30.⏩ 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
31. 31.True or false: “recorded spoken words” is training data. (a) True (b) False
32. 32.Which of these is a prediction? (a) what training builds (b) the trained program (c) flagging a new email (d) the learned patterns
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
34. 34.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
35. 35.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
36. 36.True or false: “the learned patterns” is the model. (a) False (b) True
37. 37.⏩ 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
38. 38.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) flagging a new email (d) past weather records
39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
40. 40.True or false: “recorded spoken words” is a prediction. (a) False (b) True

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