AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 492 · 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.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
2. 2.Which of these is the model? (a) the learned patterns (b) past weather records (c) labelled fruit photos (d) tomorrow’s rain guess
3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
4. 4.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) typing a new spoken word
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
6. 6.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
7. 7.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
8. 8.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
9. 9.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
13. 13.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) what training builds (d) flagging a new email
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
15. 15.True or false: “labelled fruit photos” is the model. (a) False (b) True
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “what training builds” is training data. (a) True (b) False
19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
20. 20.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) tomorrow’s rain guess (d) recorded spoken words
23. 23.True or false: “the trained program” is the model. (a) True (b) False
24. 24.⏩ 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
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
28. 28.True or false: “what training builds” is the model. (a) True (b) False
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
31. 31.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
32. 32.True or false: “flagging a new email” is training data. (a) True (b) False
33. 33.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
34. 34.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
35. 35.Which of these is training data? (a) the learned patterns (b) what training builds (c) tomorrow’s rain guess (d) past weather records
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.True or false: “the trained program” is training data. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
39. 39.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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