AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 670 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
2. 2.Which of these is the model? (a) 500 labelled leaf photos (b) labelled fruit photos (c) tomorrow’s rain guess (d) the learned patterns
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
4. 4.Which of these is the model? (a) flagging a new email (b) the trained program (c) typing a new spoken word (d) naming a new leaf
5. 5.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
6. 6.True or false: “what training builds” is the model. (a) True (b) False
7. 7.True or false: “naming a new fruit photo” is training data. (a) False (b) True
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
10. 10.⏩ 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
11. 11.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) the trained program (d) naming a new fruit photo
12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
13. 13.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) typing a new spoken word (d) 500 labelled leaf photos
14. 14.True or false: “naming a new leaf” is a prediction. (a) False (b) True
15. 15.True or false: “recorded spoken words” is the model. (a) True (b) False
16. 16.Which of these is the model? (a) typing a new spoken word (b) what training builds (c) 500 labelled leaf photos (d) past weather records
17. 17.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is a prediction? (a) what training builds (b) the trained program (c) past weather records (d) naming a new fruit photo
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
20. 20.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
23. 23.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) recorded spoken words (d) tomorrow’s rain guess
24. 24.True or false: “the trained program” is training data. (a) True (b) False
25. 25.Which of these is training data? (a) flagging a new email (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the trained program
26. 26.⏩ 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
27. 27.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
29. 29.True or false: “flagging a new email” is training data. (a) True (b) False
30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
32. 32.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) naming a new leaf (d) typing a new spoken word
34. 34.True or false: “labelled fruit photos” is training data. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or old emails marked spam? (a) naming a new fruit photo (b) old emails marked spam
36. 36.⏩ 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
37. 37.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
39. 39.True or false: “recorded spoken words” is a prediction. (a) True (b) False
40. 40.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf

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