AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 383 · 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.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
2. 2.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new fruit photo (d) 500 labelled leaf photos
3. 3.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) what training builds (d) 500 labelled leaf photos
4. 4.🧪 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
5. 5.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
6. 6.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
7. 7.Which of these is training data? (a) naming a new leaf (b) past weather records (c) tomorrow’s rain guess (d) the learned patterns
8. 8.Which of these is the model? (a) the trained program (b) past weather records (c) old emails marked spam (d) 500 labelled leaf photos
9. 9.True or false: “recorded spoken words” is training data. (a) False (b) True
10. 10.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) naming a new leaf
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
12. 12.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
13. 13.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
14. 14.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
15. 15.True or false: “naming a new leaf” is training data. (a) True (b) False
16. 16.True or false: “naming a new fruit photo” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
19. 19.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
20. 20.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
22. 22.True or false: “the trained program” is the model. (a) False (b) True
23. 23.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) labelled fruit photos (d) 500 labelled leaf photos
24. 24.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
25. 25.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
26. 26.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) the learned patterns
27. 27.Which of these is training data? (a) flagging a new email (b) what training builds (c) naming a new leaf (d) recorded spoken words
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: “naming a new leaf” is the model. (a) False (b) True
30. 30.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
31. 31.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) old emails marked spam (d) flagging a new email
32. 32.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
34. 34.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
35. 35.True or false: “old emails marked spam” is a prediction. (a) True (b) False
36. 36.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
37. 37.Which of these is the model? (a) past weather records (b) flagging a new email (c) the learned patterns (d) tomorrow’s rain guess
38. 38.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
39. 39.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
40. 40.True or false: “flagging a new email” is training data. (a) True (b) False

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