AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 132 · 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.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (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.True or false: “the learned patterns” is training data. (a) False (b) True
5. 5.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) the trained program (d) 500 labelled leaf photos
6. 6.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
7. 7.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) flagging a new email (d) tomorrow’s rain guess
8. 8.True or false: “old emails marked spam” is the model. (a) True (b) False
9. 9.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) training data (d) a label error
10. 10.True or false: “naming a new fruit photo” is training data. (a) False (b) True
11. 11.True or false: “what training builds” is the model. (a) False (b) True
12. 12.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) the learned patterns (d) old emails marked spam
13. 13.True or false: “the learned patterns” is the model. (a) False (b) True
14. 14.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
16. 16.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
17. 17.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) the trained program (d) past weather records
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
19. 19.True or false: “labelled fruit photos” is training data. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
21. 21.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
22. 22.⏩ 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
23. 23.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
24. 24.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
25. 25.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
26. 26.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
27. 27.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) old emails marked spam
28. 28.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
29. 29.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
31. 31.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
32. 32.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
33. 33.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) what training builds (d) labelled fruit photos
34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
35. 35.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
36. 36.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
37. 37.⏩ 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
38. 38.True or false: “naming a new fruit photo” is the model. (a) False (b) True
39. 39.True or false: “flagging a new email” is the model. (a) False (b) True
40. 40.⏩ 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

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