AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 679 · 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.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
2. 2.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
5. 5.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
7. 7.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) tomorrow’s rain guess (d) typing a new spoken word
8. 8.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
10. 10.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
11. 11.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
12. 12.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
13. 13.🧪 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
14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
15. 15.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) naming a new leaf (d) 500 labelled leaf photos
16. 16.⏩ 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
17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
18. 18.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
19. 19.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
20. 20.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) tomorrow’s rain guess (d) labelled fruit photos
21. 21.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) recorded spoken words (d) 500 labelled leaf photos
22. 22.True or false: “flagging a new email” is training data. (a) True (b) False
23. 23.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) the trained program
24. 24.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
25. 25.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
26. 26.True or false: “past weather records” is a prediction. (a) False (b) True
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
28. 28.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
29. 29.⏩ 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
30. 30.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) what training builds
31. 31.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
33. 33.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
34. 34.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
35. 35.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) 500 labelled leaf photos (d) naming a new fruit photo
36. 36.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
37. 37.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
38. 38.True or false: “old emails marked spam” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
40. 40.True or false: “what training builds” is the model. (a) False (b) True

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