AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 139 · 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.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
2. 2.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is training data? (a) the trained program (b) past weather records (c) flagging a new email (d) what training builds
5. 5.Which of these is the model? (a) tomorrow’s rain guess (b) the trained program (c) flagging a new email (d) typing a new spoken word
6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
7. 7.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
11. 11.True or false: “old emails marked spam” is the model. (a) True (b) False
12. 12.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
14. 14.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) naming a new leaf
15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
17. 17.True or false: “past weather records” is the model. (a) True (b) False
18. 18.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
19. 19.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new fruit photo
20. 20.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
21. 21.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) naming a new leaf (d) the learned patterns
22. 22.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) labelled fruit photos (d) naming a new leaf
23. 23.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) tomorrow’s rain guess (d) recorded spoken words
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
26. 26.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
27. 27.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
29. 29.True or false: “the learned patterns” is the model. (a) False (b) True
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: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
32. 32.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
34. 34.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
36. 36.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
37. 37.Which of these is training data? (a) the trained program (b) the learned patterns (c) naming a new leaf (d) recorded spoken words
38. 38.True or false: “old emails marked spam” is training data. (a) False (b) True
39. 39.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
40. 40.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True

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