AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 890 · 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) past weather records (b) what training builds (c) flagging a new email (d) the trained program
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
3. 3.⏩ 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
4. 4.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
6. 6.True or false: “naming a new leaf” is training data. (a) True (b) False
7. 7.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
10. 10.True or false: “the learned patterns” is a prediction. (a) False (b) True
11. 11.Which of these is the model? (a) naming a new fruit photo (b) the learned patterns (c) tomorrow’s rain guess (d) old emails marked spam
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
13. 13.Which of these is a prediction? (a) flagging a new email (b) labelled fruit photos (c) 500 labelled leaf photos (d) the trained program
14. 14.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
15. 15.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) labelled fruit photos (d) the learned patterns
16. 16.True or false: “the trained program” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
18. 18.True or false: “naming a new fruit photo” is the model. (a) False (b) True
19. 19.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
20. 20.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
21. 21.True or false: “old emails marked spam” is the model. (a) False (b) True
22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
24. 24.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
27. 27.📦 What happens during training? (a) it takes photos (b) it charges up (c) it learns patterns (d) it prints labels
28. 28.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
30. 30.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
31. 31.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
32. 32.Which of these is training data? (a) the trained program (b) what training builds (c) 500 labelled leaf photos (d) tomorrow’s rain guess
33. 33.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
37. 37.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
38. 38.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) typing a new spoken word (d) the learned patterns
39. 39.True or false: “labelled fruit photos” is the model. (a) False (b) True
40. 40.Which of these is the model? (a) old emails marked spam (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds

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