AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 199 · 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: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
4. 4.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
5. 5.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
7. 7.Which of these is the model? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) past weather records
8. 8.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
11. 11.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
12. 12.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
13. 13.Which of these is the model? (a) old emails marked spam (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
14. 14.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
15. 15.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
16. 16.Which of these is training data? (a) naming a new fruit photo (b) recorded spoken words (c) the learned patterns (d) flagging a new email
17. 17.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
18. 18.True or false: “typing a new spoken word” is training data. (a) True (b) False
19. 19.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
21. 21.⏩ 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
22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
23. 23.Which of these is a prediction? (a) what training builds (b) naming a new leaf (c) past weather records (d) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
25. 25.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
26. 26.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
27. 27.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
30. 30.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
31. 31.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) flagging a new email (d) naming a new leaf
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
34. 34.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
35. 35.True or false: “naming a new fruit photo” is training data. (a) True (b) False
36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
37. 37.True or false: “the learned patterns” is a prediction. (a) True (b) False
38. 38.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) old emails marked spam (d) flagging a new email
39. 39.True or false: “labelled fruit photos” is the model. (a) True (b) False
40. 40.True or false: “labelled fruit photos” is training data. (a) True (b) False

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