AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 732 · 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) the learned patterns (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
2. 2.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) tomorrow’s rain guess
3. 3.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
4. 4.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
5. 5.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
6. 6.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
7. 7.🧪 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
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
9. 9.True or false: “flagging a new email” is training data. (a) False (b) True
10. 10.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) old emails marked spam (d) the learned patterns
11. 11.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
12. 12.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
14. 14.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
15. 15.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
18. 18.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
21. 21.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) flagging a new email (d) naming a new leaf
22. 22.True or false: “naming a new fruit photo” is training data. (a) False (b) True
23. 23.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) labelled fruit photos
24. 24.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
25. 25.True or false: “flagging a new email” is a prediction. (a) False (b) True
26. 26.⏩ 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
27. 27.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
28. 28.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) old emails marked spam (d) the learned patterns
29. 29.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) past weather records (d) flagging a new email
30. 30.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) naming a new fruit photo
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
33. 33.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) flagging a new email
34. 34.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
35. 35.True or false: “labelled fruit photos” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
37. 37.⏩ In machine learning, which comes first: tomorrow’s rain guess or old emails marked spam? (a) tomorrow’s rain guess (b) old emails marked spam
38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction

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