AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 312 · 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: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
4. 4.⏩ 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
5. 5.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
6. 6.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
7. 7.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
8. 8.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
10. 10.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
11. 11.True or false: “recorded spoken words” is the model. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
16. 16.Which of these is training data? (a) what training builds (b) the learned patterns (c) old emails marked spam (d) flagging a new email
17. 17.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
18. 18.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) past weather records (d) 500 labelled leaf photos
19. 19.⏩ 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
20. 20.True or false: “what training builds” is a prediction. (a) True (b) False
21. 21.True or false: “recorded spoken words” is training data. (a) False (b) True
22. 22.True or false: “flagging a new email” is a prediction. (a) False (b) True
23. 23.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
24. 24.True or false: “what training builds” is the model. (a) True (b) False
25. 25.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
28. 28.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
29. 29.True or false: “naming a new leaf” is training data. (a) True (b) False
30. 30.True or false: “typing a new spoken word” is training data. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
32. 32.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
33. 33.True or false: “the learned patterns” is the model. (a) False (b) True
34. 34.True or false: “typing a new spoken word” is the model. (a) False (b) True
35. 35.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
36. 36.Which of these is a prediction? (a) what training builds (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
37. 37.Which of these is training data? (a) the learned patterns (b) the trained program (c) recorded spoken words (d) typing a new spoken word
38. 38.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
39. 39.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words

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