AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 544 · 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 a prediction? (a) flagging a new email (b) old emails marked spam (c) past weather records (d) 500 labelled leaf photos
2. 2.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) recorded spoken words (d) naming a new leaf
3. 3.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
6. 6.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
7. 7.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
8. 8.Which of these is training data? (a) the learned patterns (b) recorded spoken words (c) typing a new spoken word (d) flagging a new email
9. 9.True or false: “naming a new fruit photo” is training data. (a) False (b) True
10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) flagging a new email (d) what training builds
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
12. 12.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
13. 13.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
14. 14.True or false: “the trained program” is training data. (a) False (b) True
15. 15.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
16. 16.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
17. 17.Which of these is training data? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) typing a new spoken word (d) past weather records
18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) flagging a new email (d) the trained program
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
21. 21.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
22. 22.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
23. 23.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
24. 24.Which of these is training data? (a) the learned patterns (b) what training builds (c) labelled fruit photos (d) flagging a new email
25. 25.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
26. 26.True or false: “labelled fruit photos” is training data. (a) True (b) False
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
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.True or false: “naming a new leaf” is a prediction. (a) False (b) True
30. 30.Which of these is the model? (a) 500 labelled leaf photos (b) typing a new spoken word (c) the trained program (d) recorded spoken words
31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
32. 32.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
33. 33.True or false: “typing a new spoken word” is training data. (a) True (b) False
34. 34.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
35. 35.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
36. 36.True or false: “past weather records” is the model. (a) False (b) True
37. 37.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
38. 38.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
39. 39.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction

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