AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 501 · 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: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
2. 2.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
3. 3.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
4. 4.Which of these is training data? (a) recorded spoken words (b) the learned patterns (c) naming a new leaf (d) tomorrow’s rain guess
5. 5.🔮 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
6. 6.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) old emails marked spam
7. 7.True or false: “what training builds” is the model. (a) True (b) False
8. 8.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
9. 9.Which of these is the model? (a) the trained program (b) old emails marked spam (c) 500 labelled leaf photos (d) recorded spoken words
10. 10.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
12. 12.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
13. 13.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
15. 15.Which of these is training data? (a) labelled fruit photos (b) flagging a new email (c) typing a new spoken word (d) what training builds
16. 16.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
17. 17.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
18. 18.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
19. 19.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
20. 20.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
22. 22.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
23. 23.True or false: “recorded spoken words” is the model. (a) True (b) False
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
25. 25.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
27. 27.True or false: “what training builds” is a prediction. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
29. 29.Which of these is training data? (a) past weather records (b) what training builds (c) tomorrow’s rain guess (d) flagging a new email
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
31. 31.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words
32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
33. 33.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) labelled fruit photos (d) recorded spoken words
34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) what training builds (d) naming a new fruit photo
35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
37. 37.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
38. 38.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
39. 39.⏩ 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
40. 40.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam

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