AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 143 · 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 training data? (a) labelled fruit photos (b) the learned patterns (c) the trained program (d) flagging a new email
2. 2.True or false: “the learned patterns” is a prediction. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
6. 6.True or false: “naming a new fruit photo” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
8. 8.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
9. 9.True or false: “labelled fruit photos” is training data. (a) False (b) True
10. 10.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
11. 11.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
12. 12.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
13. 13.True or false: “past weather records” is the model. (a) False (b) True
14. 14.⏩ 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
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
16. 16.True or false: “old emails marked spam” is training data. (a) False (b) True
17. 17.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
19. 19.Which of these is the model? (a) naming a new leaf (b) the learned patterns (c) tomorrow’s rain guess (d) labelled fruit photos
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.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
22. 22.⏩ 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
23. 23.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
24. 24.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) what training builds (d) old emails marked spam
25. 25.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) labelled fruit photos
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: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
28. 28.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
29. 29.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
30. 30.True or false: “recorded spoken words” is training data. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
32. 32.True or false: “recorded spoken words” is the model. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
34. 34.True or false: “labelled fruit photos” is the model. (a) True (b) False
35. 35.Which of these is training data? (a) the trained program (b) past weather records (c) tomorrow’s rain guess (d) flagging a new email
36. 36.Which of these is a prediction? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) recorded spoken words
37. 37.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
40. 40.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) naming a new fruit photo (d) recorded spoken words

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