AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 934 · 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 learned patterns” is the model. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
3. 3.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
4. 4.True or false: “typing a new spoken word” is the model. (a) True (b) False
5. 5.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
6. 6.True or false: “naming a new leaf” is a prediction. (a) False (b) True
7. 7.Which of these is the model? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) tomorrow’s rain guess
8. 8.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
9. 9.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) what training builds
10. 10.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
11. 11.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
12. 12.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) tomorrow’s rain guess (d) 500 labelled leaf photos
13. 13.🔮 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
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
17. 17.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
18. 18.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
19. 19.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) what training builds (d) flagging a new email
20. 20.True or false: “recorded spoken words” is training data. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
23. 23.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
24. 24.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
25. 25.True or false: “past weather records” is a prediction. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) what training builds (d) typing a new spoken word
29. 29.Which of these is a prediction? (a) past weather records (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
30. 30.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
32. 32.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) typing a new spoken word
33. 33.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
34. 34.True or false: “what training builds” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
36. 36.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
37. 37.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
38. 38.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
39. 39.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
40. 40.True or false: “the learned patterns” is training data. (a) False (b) True

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