AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 726 · 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.True or false: “flagging a new email” is the model. (a) False (b) True
2. 2.⏩ 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
3. 3.🧪 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
4. 4.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) flagging a new email (d) naming a new fruit photo
5. 5.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) typing a new spoken word (d) flagging a new email
6. 6.Which of these is the model? (a) flagging a new email (b) the trained program (c) old emails marked spam (d) past weather records
7. 7.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) recorded spoken words (d) past weather records
8. 8.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
9. 9.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
10. 10.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
11. 11.True or false: “what training builds” is training data. (a) True (b) False
12. 12.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
13. 13.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
14. 14.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
15. 15.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
16. 16.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) past weather records
17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
19. 19.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
20. 20.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
21. 21.True or false: “the trained program” is training data. (a) True (b) False
22. 22.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
23. 23.Which of these is a prediction? (a) flagging a new email (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
24. 24.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
25. 25.⏩ 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
26. 26.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
27. 27.True or false: “past weather records” is training data. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
30. 30.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
32. 32.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
33. 33.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
35. 35.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) what training builds (d) typing a new spoken word
36. 36.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
37. 37.Which of these is the model? (a) what training builds (b) flagging a new email (c) labelled fruit photos (d) past weather records
38. 38.Which of these is training data? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) tomorrow’s rain guess
39. 39.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
40. 40.True or false: “typing a new spoken word” is a prediction. (a) False (b) True

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