AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 723 · 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) tomorrow’s rain guess (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
2. 2.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
8. 8.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
10. 10.True or false: “the trained program” is training data. (a) False (b) True
11. 11.True or false: “what training builds” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
13. 13.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
14. 14.True or false: “the trained program” is a prediction. (a) True (b) False
15. 15.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
16. 16.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
18. 18.True or false: “past weather records” is training data. (a) False (b) True
19. 19.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) naming a new fruit photo
20. 20.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
23. 23.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
24. 24.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
25. 25.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
26. 26.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
27. 27.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
28. 28.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) labelled fruit photos (d) flagging a new email
29. 29.True or false: “what training builds” is training data. (a) False (b) True
30. 30.⏩ 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
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
32. 32.True or false: “flagging a new email” is training data. (a) True (b) False
33. 33.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) labelled fruit photos
34. 34.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
36. 36.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
37. 37.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
39. 39.True or false: “old emails marked spam” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds

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