AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 587 · 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: “the trained program” is a prediction. (a) True (b) False
2. 2.True or false: “past weather records” is the model. (a) False (b) True
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
4. 4.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
5. 5.Which of these is training data? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
6. 6.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) what training builds (d) flagging a new email
7. 7.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) the learned patterns (d) what training builds
8. 8.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
10. 10.True or false: “old emails marked spam” is the model. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is the model? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) naming a new leaf
13. 13.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) 500 labelled leaf photos (d) old emails marked spam
14. 14.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
15. 15.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
17. 17.True or false: “recorded spoken words” is training data. (a) True (b) False
18. 18.True or false: “recorded spoken words” is the model. (a) True (b) False
19. 19.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) tomorrow’s rain guess
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new leaf (d) 500 labelled leaf photos
23. 23.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
24. 24.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
25. 25.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) typing a new spoken word (d) labelled fruit photos
26. 26.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
27. 27.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
28. 28.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) flagging a new email (d) labelled fruit photos
29. 29.Which of these is a prediction? (a) 500 labelled leaf photos (b) typing a new spoken word (c) recorded spoken words (d) what training builds
30. 30.True or false: “naming a new fruit photo” is training data. (a) False (b) True
31. 31.True or false: “past weather records” is training data. (a) False (b) True
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
34. 34.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
35. 35.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
37. 37.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) the learned patterns (d) tomorrow’s rain guess
38. 38.True or false: “labelled fruit photos” is the model. (a) False (b) True
39. 39.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) recorded spoken words (d) labelled fruit photos
40. 40.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words

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