AI Worksheet: Training Data, Model, Prediction

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

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