AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 867 · 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 the model? (a) naming a new fruit photo (b) flagging a new email (c) recorded spoken words (d) what training builds
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) typing a new spoken word
4. 4.Which of these is a prediction? (a) recorded spoken words (b) old emails marked spam (c) naming a new fruit photo (d) 500 labelled leaf photos
5. 5.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
6. 6.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) naming a new leaf
7. 7.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
8. 8.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
9. 9.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
11. 11.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
12. 12.True or false: “flagging a new email” is training data. (a) True (b) False
13. 13.True or false: “flagging a new email” is a prediction. (a) False (b) True
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
15. 15.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
17. 17.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) recorded spoken words (d) the trained program
18. 18.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
20. 20.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
21. 21.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
24. 24.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
25. 25.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
26. 26.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
27. 27.True or false: “the trained program” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
29. 29.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) 500 labelled leaf photos (d) naming a new leaf
30. 30.True or false: “old emails marked spam” is the model. (a) True (b) False
31. 31.True or false: “the trained program” is the model. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
33. 33.Which of these is a prediction? (a) typing a new spoken word (b) what training builds (c) labelled fruit photos (d) past weather records
34. 34.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) typing a new spoken word (d) what training builds
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
36. 36.True or false: “naming a new fruit photo” is the model. (a) True (b) False
37. 37.Which of these is the model? (a) past weather records (b) flagging a new email (c) recorded spoken words (d) the trained program
38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “the learned patterns” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam

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