AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 968 · 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) the trained program (b) naming a new fruit photo (c) tomorrow’s rain guess (d) recorded spoken words
2. 2.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
4. 4.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) past weather records
5. 5.True or false: “old emails marked spam” is training data. (a) False (b) True
6. 6.True or false: “naming a new fruit photo” is training data. (a) False (b) True
7. 7.True or false: “labelled fruit photos” is training data. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
9. 9.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
10. 10.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
11. 11.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
12. 12.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
13. 13.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
15. 15.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
16. 16.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
17. 17.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
18. 18.Which of these is the model? (a) past weather records (b) naming a new leaf (c) flagging a new email (d) the learned patterns
19. 19.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) tomorrow’s rain guess (d) the trained program
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
22. 22.True or false: “the trained program” is a prediction. (a) False (b) True
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
24. 24.Which of these is the model? (a) naming a new fruit photo (b) what training builds (c) flagging a new email (d) labelled fruit photos
25. 25.True or false: “naming a new leaf” is training data. (a) True (b) False
26. 26.True or false: “flagging a new email” is a prediction. (a) True (b) False
27. 27.Which of these is a prediction? (a) what training builds (b) recorded spoken words (c) typing a new spoken word (d) old emails marked spam
28. 28.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) naming a new leaf (d) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
30. 30.⏩ 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
31. 31.True or false: “the learned patterns” is the model. (a) False (b) True
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “naming a new leaf” is a prediction. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
36. 36.True or false: “old emails marked spam” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
38. 38.True or false: “past weather records” is training data. (a) False (b) True
39. 39.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
40. 40.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) old emails marked spam (d) flagging a new email

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