AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 475 · 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: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
2. 2.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
4. 4.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
5. 5.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
6. 6.Which of these is the model? (a) typing a new spoken word (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
10. 10.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) 500 labelled leaf photos (d) what training builds
11. 11.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
12. 12.Which of these is training data? (a) the learned patterns (b) the trained program (c) what training builds (d) labelled fruit photos
13. 13.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) what training builds
14. 14.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) labelled fruit photos (d) past weather records
15. 15.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) old emails marked spam
16. 16.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) naming a new leaf
17. 17.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
18. 18.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) the learned patterns (d) old emails marked spam
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
20. 20.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
21. 21.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
24. 24.Which of these is training data? (a) old emails marked spam (b) flagging a new email (c) what training builds (d) tomorrow’s rain guess
25. 25.True or false: “old emails marked spam” is a prediction. (a) False (b) True
26. 26.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
27. 27.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
28. 28.True or false: “recorded spoken words” is the model. (a) True (b) False
29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
30. 30.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
31. 31.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
32. 32.True or false: “past weather records” is training data. (a) True (b) False
33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
34. 34.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it prints labels (d) it takes photos
35. 35.Which of these is the model? (a) what training builds (b) old emails marked spam (c) 500 labelled leaf photos (d) past weather records
36. 36.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
39. 39.True or false: “past weather records” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records

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