AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 408 · 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.True or false: “recorded spoken words” is the model. (a) True (b) False
2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
6. 6.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
7. 7.Which of these is the model? (a) what training builds (b) typing a new spoken word (c) past weather records (d) naming a new fruit photo
8. 8.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
9. 9.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
10. 10.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) what training builds (d) old emails marked spam
13. 13.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
15. 15.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
16. 16.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) the learned patterns (d) 500 labelled leaf photos
17. 17.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
18. 18.True or false: “the trained program” is a prediction. (a) False (b) True
19. 19.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
20. 20.True or false: “past weather records” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
23. 23.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
24. 24.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “labelled fruit photos” is training data. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
29. 29.True or false: “what training builds” is a prediction. (a) True (b) False
30. 30.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
31. 31.True or false: “flagging a new email” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
35. 35.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
36. 36.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) typing a new spoken word
37. 37.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) the trained program (d) tomorrow’s rain guess
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
39. 39.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) what training builds (d) recorded spoken words
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program

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