AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 709 · 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.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) old emails marked spam (d) 500 labelled leaf photos
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
3. 3.Which of these is the model? (a) flagging a new email (b) naming a new leaf (c) labelled fruit photos (d) what training builds
4. 4.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
6. 6.⏩ 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
7. 7.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
8. 8.Which of these is the model? (a) the trained program (b) past weather records (c) naming a new fruit photo (d) tomorrow’s rain guess
9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
11. 11.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) naming a new leaf (d) typing a new spoken word
12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
13. 13.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
14. 14.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
15. 15.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
17. 17.Which of these is a prediction? (a) the trained program (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
18. 18.True or false: “the trained program” is a prediction. (a) True (b) False
19. 19.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
20. 20.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
22. 22.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
23. 23.True or false: “recorded spoken words” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
25. 25.True or false: “what training builds” is training data. (a) False (b) True
26. 26.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) naming a new fruit photo (d) past weather records
27. 27.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) tomorrow’s rain guess (d) old emails marked spam
28. 28.True or false: “old emails marked spam” is training data. (a) False (b) True
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.True or false: “recorded spoken words” is the model. (a) True (b) False
31. 31.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
32. 32.True or false: “naming a new fruit photo” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
34. 34.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
35. 35.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) flagging a new email (d) the trained program
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
37. 37.Which of these is training data? (a) the trained program (b) naming a new leaf (c) labelled fruit photos (d) tomorrow’s rain guess
38. 38.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
39. 39.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
40. 40.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf

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