AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 648 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
2. 2.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
5. 5.True or false: “the trained program” is the model. (a) False (b) True
6. 6.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
7. 7.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
9. 9.True or false: “naming a new fruit photo” is training data. (a) True (b) False
10. 10.True or false: “what training builds” is the model. (a) True (b) False
11. 11.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) old emails marked spam (d) naming a new fruit photo
12. 12.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) 500 labelled leaf photos
13. 13.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
15. 15.True or false: “old emails marked spam” is the model. (a) False (b) True
16. 16.Which of these is a prediction? (a) labelled fruit photos (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) recorded spoken words
17. 17.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
18. 18.🧪 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
19. 19.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
20. 20.True or false: “typing a new spoken word” is the model. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is the model? (a) old emails marked spam (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
23. 23.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
24. 24.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
25. 25.Which of these is a prediction? (a) the learned patterns (b) recorded spoken words (c) naming a new fruit photo (d) labelled fruit photos
26. 26.True or false: “the trained program” is training data. (a) False (b) True
27. 27.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) typing a new spoken word (d) the learned patterns
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is training data? (a) the trained program (b) recorded spoken words (c) naming a new leaf (d) flagging a new email
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
32. 32.Which of these is training data? (a) past weather records (b) what training builds (c) typing a new spoken word (d) naming a new fruit photo
33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
35. 35.🔮 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
36. 36.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
37. 37.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) 500 labelled leaf photos (d) the trained program
38. 38.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
39. 39.True or false: “flagging a new email” is a prediction. (a) False (b) True
40. 40.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program

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