AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 858 · 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) the learned patterns (b) naming a new leaf (c) past weather records (d) flagging a new email
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
3. 3.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) old emails marked spam
4. 4.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) 500 labelled leaf photos (d) the trained program
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
6. 6.True or false: “flagging a new email” is a prediction. (a) False (b) True
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: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
9. 9.Which of these is training data? (a) naming a new leaf (b) what training builds (c) flagging a new email (d) old emails marked spam
10. 10.True or false: “recorded spoken words” is the model. (a) True (b) False
11. 11.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
12. 12.True or false: “recorded spoken words” is training data. (a) True (b) False
13. 13.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) naming a new leaf (d) what training builds
16. 16.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “naming a new leaf” is training data. (a) True (b) False
20. 20.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the trained program (d) naming a new leaf
21. 21.True or false: “past weather records” is the model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
23. 23.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) past weather records (d) typing a new spoken word
24. 24.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
25. 25.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) what training builds (d) recorded spoken words
26. 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
28. 28.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) the learned patterns (d) flagging a new email
29. 29.⏩ 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
30. 30.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
31. 31.True or false: “flagging a new email” is the model. (a) True (b) False
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
35. 35.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
36. 36.True or false: “old emails marked spam” is a prediction. (a) False (b) True
37. 37.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “naming a new fruit photo” is training data. (a) True (b) False

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