AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 863 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
2. 2.True or false: “the learned patterns” is the model. (a) False (b) True
3. 3.True or false: “recorded spoken words” is the model. (a) False (b) True
4. 4.Which of these is training data? (a) the trained program (b) naming a new leaf (c) past weather records (d) typing a new spoken word
5. 5.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
7. 7.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
8. 8.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
11. 11.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) the learned patterns (d) recorded spoken words
12. 12.True or false: “naming a new leaf” is the model. (a) True (b) False
13. 13.True or false: “labelled fruit photos” is training data. (a) False (b) True
14. 14.True or false: “recorded spoken words” is a prediction. (a) False (b) True
15. 15.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
17. 17.True or false: “flagging a new email” is a prediction. (a) False (b) True
18. 18.Which of these is the model? (a) past weather records (b) the trained program (c) labelled fruit photos (d) recorded spoken words
19. 19.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
20. 20.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
21. 21.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) what training builds
22. 22.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the learned patterns
23. 23.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
24. 24.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
26. 26.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
27. 27.True or false: “flagging a new email” is training data. (a) True (b) False
28. 28.True or false: “past weather records” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
31. 31.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
32. 32.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
35. 35.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) 500 labelled leaf photos (d) naming a new leaf
36. 36.Which of these is training data? (a) recorded spoken words (b) tomorrow’s rain guess (c) flagging a new email (d) the learned patterns
37. 37.True or false: “the trained program” is a prediction. (a) True (b) False
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
40. 40.True or false: “labelled fruit photos” is the model. (a) True (b) False

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