AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 906 · 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) labelled fruit photos (b) flagging a new email (c) naming a new leaf (d) the trained program
2. 2.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
4. 4.Which of these is training data? (a) what training builds (b) old emails marked spam (c) typing a new spoken word (d) the trained program
5. 5.📦 What happens during training? (a) it prints labels (b) it charges up (c) it takes photos (d) it learns patterns
6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
7. 7.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
8. 8.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
10. 10.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
12. 12.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
13. 13.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) typing a new spoken word (d) the trained program
14. 14.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) flagging a new email (d) naming a new leaf
15. 15.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
17. 17.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) the learned patterns (d) old emails marked spam
18. 18.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
19. 19.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
20. 20.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
21. 21.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
22. 22.True or false: “flagging a new email” is the model. (a) True (b) False
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
24. 24.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
25. 25.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
26. 26.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
28. 28.True or false: “the trained program” is the model. (a) False (b) True
29. 29.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) old emails marked spam (d) flagging a new email
30. 30.True or false: “typing a new spoken word” is the model. (a) False (b) True
31. 31.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
32. 32.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new leaf (d) typing a new spoken word
34. 34.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
35. 35.True or false: “recorded spoken words” is training data. (a) False (b) True
36. 36.Which of these is training data? (a) flagging a new email (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
37. 37.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
38. 38.True or false: “what training builds” is the model. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
40. 40.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words

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