AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 540 · 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.⏩ In machine learning, which comes first: flagging a new email or 500 labelled leaf photos? (a) flagging a new email (b) 500 labelled leaf photos
2. 2.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
3. 3.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
4. 4.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) naming a new fruit photo (d) flagging a new email
5. 5.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
7. 7.Which of these is a prediction? (a) what training builds (b) the learned patterns (c) recorded spoken words (d) tomorrow’s rain guess
8. 8.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
10. 10.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) the trained program (d) old emails marked spam
11. 11.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
12. 12.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
14. 14.True or false: “the trained program” is a prediction. (a) False (b) True
15. 15.🧪 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
16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
18. 18.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) labelled fruit photos
19. 19.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
20. 20.True or false: “old emails marked spam” is training data. (a) True (b) False
21. 21.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) naming a new leaf (d) labelled fruit photos
22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “naming a new fruit photo” is the model. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
25. 25.True or false: “flagging a new email” is a prediction. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
28. 28.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
29. 29.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
30. 30.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
31. 31.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
32. 32.Which of these is the model? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
33. 33.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
34. 34.True or false: “naming a new leaf” is a prediction. (a) False (b) True
35. 35.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
36. 36.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) naming a new fruit photo (d) what training builds
37. 37.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) typing a new spoken word (d) naming a new fruit photo
38. 38.⏩ 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
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.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data

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