AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 813 · 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) what training builds (b) typing a new spoken word (c) flagging a new email (d) labelled fruit photos
2. 2.🔮 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
3. 3.True or false: “old emails marked spam” is a prediction. (a) False (b) True
4. 4.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
5. 5.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
6. 6.⏩ 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
7. 7.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) old emails marked spam (d) what training builds
8. 8.True or false: “labelled fruit photos” is training data. (a) True (b) False
9. 9.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
10. 10.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
11. 11.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new fruit photo
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
13. 13.True or false: “the trained program” is a prediction. (a) False (b) True
14. 14.Which of these is the model? (a) the trained program (b) past weather records (c) flagging a new email (d) 500 labelled leaf photos
15. 15.True or false: “flagging a new email” is the model. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
17. 17.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
18. 18.True or false: “recorded spoken words” is a prediction. (a) True (b) False
19. 19.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
21. 21.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
22. 22.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
23. 23.⏩ 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
24. 24.True or false: “the learned patterns” is training data. (a) True (b) False
25. 25.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) naming a new leaf
26. 26.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) 500 labelled leaf photos (d) naming a new leaf
27. 27.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
28. 28.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
29. 29.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) past weather records (d) naming a new leaf
30. 30.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
31. 31.True or false: “typing a new spoken word” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
37. 37.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
38. 38.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model

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