AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 711 · 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: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
2. 2.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
3. 3.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
6. 6.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
9. 9.True or false: “naming a new leaf” is a prediction. (a) False (b) True
10. 10.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
11. 11.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
13. 13.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) the learned patterns (d) old emails marked spam
14. 14.Which of these is training data? (a) the trained program (b) recorded spoken words (c) what training builds (d) flagging a new email
15. 15.True or false: “recorded spoken words” is the model. (a) True (b) False
16. 16.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) old emails marked spam
17. 17.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
18. 18.⏩ 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
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.⏩ 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
21. 21.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
23. 23.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
24. 24.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
26. 26.Which of these is a prediction? (a) naming a new leaf (b) past weather records (c) the trained program (d) 500 labelled leaf photos
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
28. 28.Which of these is the model? (a) old emails marked spam (b) the trained program (c) naming a new leaf (d) tomorrow’s rain guess
29. 29.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
31. 31.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
32. 32.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
34. 34.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
37. 37.⏩ 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
38. 38.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
40. 40.⏩ 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

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