AI Worksheet: Training Data, Model, Prediction

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