AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 833 · 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: “the learned patterns”? (a) the model (b) training data (c) a prediction
2. 2.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
3. 3.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
6. 6.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) what training builds (d) labelled fruit photos
7. 7.True or false: “old emails marked spam” is the model. (a) False (b) True
8. 8.Which of these is the model? (a) old emails marked spam (b) past weather records (c) 500 labelled leaf photos (d) the trained program
9. 9.True or false: “past weather records” is training data. (a) True (b) False
10. 10.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) past weather records (d) naming a new leaf
11. 11.Which of these is the model? (a) naming a new fruit photo (b) naming a new leaf (c) the learned patterns (d) tomorrow’s rain guess
12. 12.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
13. 13.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
14. 14.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
15. 15.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
16. 16.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
17. 17.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
19. 19.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
20. 20.True or false: “the trained program” is a prediction. (a) True (b) False
21. 21.True or false: “flagging a new email” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
23. 23.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
27. 27.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
28. 28.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
30. 30.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
31. 31.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
32. 32.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) what training builds
33. 33.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
34. 34.True or false: “what training builds” is training data. (a) False (b) True
35. 35.True or false: “the trained program” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
37. 37.Which of these is training data? (a) naming a new leaf (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
38. 38.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
39. 39.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

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