AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 113 · 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 learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
2. 2.Which of these is training data? (a) the trained program (b) old emails marked spam (c) what training builds (d) the learned patterns
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
4. 4.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
7. 7.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
8. 8.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) labelled fruit photos (d) tomorrow’s rain guess
9. 9.Which of these is the model? (a) flagging a new email (b) tomorrow’s rain guess (c) the trained program (d) naming a new fruit photo
10. 10.⏩ 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
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.True or false: “the trained program” is the model. (a) False (b) True
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
14. 14.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
15. 15.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
17. 17.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
21. 21.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
22. 22.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) recorded spoken words (d) flagging a new email
23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
24. 24.⏩ 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
25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
26. 26.True or false: “the learned patterns” is a prediction. (a) False (b) True
27. 27.Which of these is a prediction? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) labelled fruit photos
28. 28.Which of these is the model? (a) naming a new fruit photo (b) old emails marked spam (c) tomorrow’s rain guess (d) what training builds
29. 29.True or false: “naming a new fruit photo” is the model. (a) False (b) True
30. 30.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
31. 31.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
32. 32.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
33. 33.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
34. 34.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
35. 35.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
37. 37.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
38. 38.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
39. 39.True or false: “what training builds” is the model. (a) False (b) True
40. 40.Which of these is a prediction? (a) past weather records (b) what training builds (c) naming a new leaf (d) the learned patterns

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