AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 251 · 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 training data? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) labelled fruit photos
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
3. 3.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) typing a new spoken word (d) naming a new leaf
4. 4.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) labelled fruit photos
5. 5.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
6. 6.True or false: “what training builds” is training data. (a) True (b) False
7. 7.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
8. 8.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
9. 9.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
10. 10.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) past weather records
11. 11.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) the trained program
13. 13.True or false: “naming a new leaf” is the model. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
15. 15.True or false: “the trained program” is the model. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
17. 17.True or false: “old emails marked spam” is training data. (a) False (b) True
18. 18.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
22. 22.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
23. 23.True or false: “past weather records” is training data. (a) False (b) True
24. 24.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
26. 26.🧪 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
27. 27.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
28. 28.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
30. 30.True or false: “typing a new spoken word” is training data. (a) False (b) True
31. 31.True or false: “recorded spoken words” is a prediction. (a) False (b) True
32. 32.⏩ 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
33. 33.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
34. 34.Which of these is the model? (a) naming a new leaf (b) labelled fruit photos (c) past weather records (d) the trained program
35. 35.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
36. 36.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) recorded spoken words (d) what training builds
37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
38. 38.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
39. 39.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) the learned patterns (d) tomorrow’s rain guess
40. 40.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program

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