AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 205 · 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) what training builds (b) naming a new leaf (c) recorded spoken words (d) the trained program
2. 2.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
5. 5.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) 500 labelled leaf photos (d) the trained program
6. 6.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
7. 7.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
8. 8.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
9. 9.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
10. 10.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) typing a new spoken word (d) labelled fruit photos
11. 11.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) tomorrow’s rain guess (d) past weather records
12. 12.⏩ 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
13. 13.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
14. 14.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
15. 15.True or false: “flagging a new email” is a prediction. (a) False (b) True
16. 16.True or false: “recorded spoken words” is a prediction. (a) True (b) False
17. 17.True or false: “past weather records” is the model. (a) True (b) False
18. 18.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
19. 19.Which of these is a prediction? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
20. 20.⏩ 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
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
22. 22.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) tomorrow’s rain guess (d) naming a new leaf
23. 23.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
24. 24.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to change its name (d) to delete its data
25. 25.True or false: “what training builds” is training data. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
27. 27.Which of these is the model? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
28. 28.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
29. 29.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
30. 30.True or false: “naming a new fruit photo” is the model. (a) True (b) False
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
32. 32.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) training data (d) a label error
33. 33.True or false: “old emails marked spam” is a prediction. (a) False (b) True
34. 34.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
35. 35.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
36. 36.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
37. 37.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
38. 38.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
39. 39.True or false: “the trained program” is training data. (a) False (b) True
40. 40.⏩ 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

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