AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 487 · 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.Which of these is the model? (a) 500 labelled leaf photos (b) flagging a new email (c) the learned patterns (d) naming a new leaf
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
3. 3.True or false: “the learned patterns” is the model. (a) False (b) True
4. 4.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) flagging a new email
5. 5.True or false: “flagging a new email” is a prediction. (a) False (b) True
6. 6.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) naming a new leaf
7. 7.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
8. 8.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
9. 9.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
10. 10.Which of these is the model? (a) naming a new leaf (b) past weather records (c) 500 labelled leaf photos (d) what training builds
11. 11.Which of these is the model? (a) flagging a new email (b) typing a new spoken word (c) the trained program (d) old emails marked spam
12. 12.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
13. 13.True or false: “typing a new spoken word” is training data. (a) True (b) False
14. 14.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
16. 16.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
18. 18.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
19. 19.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
20. 20.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
21. 21.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
22. 22.True or false: “the learned patterns” is a prediction. (a) True (b) False
23. 23.Which of these is a prediction? (a) past weather records (b) the trained program (c) tomorrow’s rain guess (d) old emails marked spam
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
25. 25.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
26. 26.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
27. 27.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
28. 28.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
30. 30.True or false: “naming a new leaf” is a prediction. (a) True (b) False
31. 31.True or false: “recorded spoken words” is training data. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
33. 33.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
34. 34.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
35. 35.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
39. 39.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
40. 40.True or false: “typing a new spoken word” is the model. (a) True (b) False

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