AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 247 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
3. 3.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
4. 4.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
5. 5.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) what training builds (d) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
7. 7.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) tomorrow’s rain guess
8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
10. 10.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
12. 12.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
13. 13.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
14. 14.True or false: “the trained program” is the model. (a) False (b) True
15. 15.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) the trained program
16. 16.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) naming a new leaf (d) the trained program
17. 17.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
18. 18.True or false: “old emails marked spam” is training data. (a) False (b) True
19. 19.⏩ 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
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
21. 21.True or false: “the trained program” is a prediction. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
23. 23.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) recorded spoken words (d) tomorrow’s rain guess
24. 24.True or false: “old emails marked spam” is a prediction. (a) True (b) False
25. 25.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) naming a new fruit photo (d) 500 labelled leaf photos
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
27. 27.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) 500 labelled leaf photos (d) tomorrow’s rain guess
28. 28.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
31. 31.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
32. 32.True or false: “past weather records” is the model. (a) True (b) False
33. 33.True or false: “the learned patterns” is training data. (a) True (b) False
34. 34.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) typing a new spoken word (d) old emails marked spam
35. 35.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
37. 37.True or false: “typing a new spoken word” is training data. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
39. 39.True or false: “labelled fruit photos” is training data. (a) False (b) True
40. 40.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data

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