AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 344 · 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.🧪 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
2. 2.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
6. 6.⏩ 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
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
12. 12.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) 500 labelled leaf photos
13. 13.Which of these is a prediction? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) naming a new fruit photo
14. 14.Which of these is training data? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) old emails marked spam
15. 15.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) naming a new fruit photo (d) recorded spoken words
16. 16.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) the trained program (d) old emails marked spam
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is training data? (a) naming a new fruit photo (b) past weather records (c) flagging a new email (d) what training builds
19. 19.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
20. 20.True or false: “old emails marked spam” is the model. (a) False (b) True
21. 21.True or false: “past weather records” is the model. (a) True (b) False
22. 22.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) typing a new spoken word (d) the learned patterns
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
24. 24.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
25. 25.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
26. 26.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) the learned patterns
27. 27.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
28. 28.True or false: “flagging a new email” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
30. 30.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
31. 31.True or false: “what training builds” is training data. (a) False (b) True
32. 32.True or false: “the learned patterns” is the model. (a) True (b) False
33. 33.True or false: “typing a new spoken word” is the model. (a) True (b) False
34. 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
35. 35.True or false: “recorded spoken words” is a prediction. (a) False (b) True
36. 36.Which of these is the model? (a) past weather records (b) naming a new leaf (c) flagging a new email (d) the learned patterns
37. 37.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) flagging a new email (d) labelled fruit photos
38. 38.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
39. 39.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
40. 40.True or false: “what training builds” is the model. (a) False (b) True

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