AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 755 · 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.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
2. 2.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
5. 5.⏩ 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
6. 6.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
7. 7.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
10. 10.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
11. 11.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) 500 labelled leaf photos (d) naming a new leaf
12. 12.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
13. 13.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
14. 14.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
15. 15.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
17. 17.True or false: “naming a new fruit photo” is training data. (a) False (b) True
18. 18.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
19. 19.True or false: “naming a new fruit photo” is the model. (a) True (b) False
20. 20.True or false: “what training builds” is the model. (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: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
24. 24.True or false: “recorded spoken words” is the model. (a) False (b) True
25. 25.True or false: “typing a new spoken word” is training data. (a) True (b) False
26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
27. 27.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) the learned patterns
28. 28.True or false: “naming a new leaf” is training data. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
30. 30.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
32. 32.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
33. 33.True or false: “past weather records” is training data. (a) True (b) False
34. 34.Which of these is the model? (a) what training builds (b) flagging a new email (c) tomorrow’s rain guess (d) naming a new fruit photo
35. 35.True or false: “the trained program” is a prediction. (a) True (b) False
36. 36.True or false: “the learned patterns” is a prediction. (a) True (b) False
37. 37.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) recorded spoken words (d) the trained program
38. 38.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
39. 39.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
40. 40.Which of these is the model? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns

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