AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 341 · 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 label error (b) a password (c) a prediction (d) training data
2. 2.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
3. 3.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new fruit photo (d) past weather records
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
5. 5.True or false: “old emails marked spam” is the model. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
11. 11.True or false: “recorded spoken words” is the model. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
14. 14.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
15. 15.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) naming a new fruit photo (d) recorded spoken words
16. 16.⏩ 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
17. 17.True or false: “labelled fruit photos” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
19. 19.Which of these is the model? (a) recorded spoken words (b) past weather records (c) labelled fruit photos (d) the trained program
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
21. 21.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) the trained program (d) recorded spoken words
22. 22.True or false: “naming a new leaf” is the model. (a) False (b) True
23. 23.True or false: “what training builds” is a prediction. (a) False (b) True
24. 24.True or false: “the learned patterns” is training data. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
26. 26.Which of these is the model? (a) the learned patterns (b) past weather records (c) 500 labelled leaf photos (d) old emails marked spam
27. 27.True or false: “what training builds” is the model. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
32. 32.Which of these is training data? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) tomorrow’s rain guess
33. 33.True or false: “the trained program” is the model. (a) True (b) False
34. 34.⏩ 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
35. 35.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
36. 36.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
37. 37.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) recorded spoken words
38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
39. 39.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True

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