AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 188 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
3. 3.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) tomorrow’s rain guess (d) naming a new fruit photo
4. 4.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
5. 5.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
6. 6.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
8. 8.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) old emails marked spam (d) past weather records
9. 9.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) naming a new leaf (d) flagging a new email
10. 10.Which of these is training data? (a) old emails marked spam (b) what training builds (c) the learned patterns (d) typing a new spoken word
11. 11.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
12. 12.🔮 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
13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
14. 14.Which of these is the model? (a) past weather records (b) labelled fruit photos (c) naming a new leaf (d) the learned patterns
15. 15.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
19. 19.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
22. 22.Which of these is the model? (a) what training builds (b) past weather records (c) naming a new fruit photo (d) typing a new spoken word
23. 23.Which of these is a prediction? (a) tomorrow’s rain guess (b) the trained program (c) past weather records (d) old emails marked spam
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
25. 25.True or false: “typing a new spoken word” is training data. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
27. 27.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) typing a new spoken word
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “flagging a new email” is a prediction. (a) True (b) False
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.True or false: “the trained program” is training data. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
33. 33.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
34. 34.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
35. 35.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
36. 36.True or false: “what training builds” is the model. (a) False (b) True
37. 37.True or false: “the trained program” is a prediction. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
40. 40.True or false: “flagging a new email” is the model. (a) True (b) False

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