AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 80 · 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 the model? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) recorded spoken words
2. 2.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
3. 3.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
6. 6.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
7. 7.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
9. 9.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
11. 11.Which of these is the model? (a) recorded spoken words (b) flagging a new email (c) typing a new spoken word (d) what training builds
12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
13. 13.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
15. 15.True or false: “what training builds” is the model. (a) False (b) True
16. 16.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
17. 17.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) the trained program (d) labelled fruit photos
18. 18.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) recorded spoken words (d) naming a new leaf
19. 19.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
20. 20.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
23. 23.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
26. 26.True or false: “typing a new spoken word” is training data. (a) False (b) True
27. 27.True or false: “old emails marked spam” is training data. (a) False (b) True
28. 28.True or false: “flagging a new email” is a prediction. (a) True (b) False
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
30. 30.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
31. 31.Which of these is a prediction? (a) past weather records (b) old emails marked spam (c) the trained program (d) naming a new fruit photo
32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
34. 34.Which of these is training data? (a) flagging a new email (b) old emails marked spam (c) tomorrow’s rain guess (d) the trained program
35. 35.Which of these is training data? (a) what training builds (b) flagging a new email (c) the trained program (d) labelled fruit photos
36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
37. 37.True or false: “flagging a new email” is training data. (a) False (b) True
38. 38.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
39. 39.True or false: “recorded spoken words” is the model. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model

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