AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 734 · 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: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
2. 2.True or false: “naming a new fruit photo” is training data. (a) False (b) True
3. 3.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
5. 5.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new leaf
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
7. 7.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
8. 8.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
9. 9.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
10. 10.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
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: “the learned patterns” is training data. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
16. 16.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) typing a new spoken word (d) naming a new leaf
17. 17.True or false: “old emails marked spam” is training data. (a) False (b) True
18. 18.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
21. 21.True or false: “flagging a new email” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
24. 24.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) naming a new leaf
25. 25.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
26. 26.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
28. 28.True or false: “past weather records” is a prediction. (a) False (b) True
29. 29.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) old emails marked spam (d) naming a new fruit photo
30. 30.True or false: “flagging a new email” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
32. 32.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) the trained program (d) past weather records
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
37. 37.Which of these is training data? (a) what training builds (b) naming a new leaf (c) the trained program (d) recorded spoken words
38. 38.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) tomorrow’s rain guess (d) naming a new fruit photo
39. 39.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
40. 40.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words

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