AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 127 · 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.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
3. 3.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
4. 4.True or false: “naming a new fruit photo” is the model. (a) False (b) True
5. 5.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
6. 6.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) flagging a new email
7. 7.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
8. 8.🔮 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
9. 9.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
10. 10.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
11. 11.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) past weather records (d) naming a new leaf
12. 12.Which of these is the model? (a) naming a new leaf (b) past weather records (c) tomorrow’s rain guess (d) what training builds
13. 13.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
14. 14.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) typing a new spoken word (d) past weather records
15. 15.Which of these is a prediction? (a) naming a new leaf (b) old emails marked spam (c) the trained program (d) the learned patterns
16. 16.True or false: “recorded spoken words” is the model. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) past weather records (d) the learned patterns
19. 19.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
20. 20.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
22. 22.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
23. 23.⏩ 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
24. 24.True or false: “old emails marked spam” is a prediction. (a) True (b) False
25. 25.True or false: “naming a new leaf” is the model. (a) False (b) True
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
27. 27.🧪 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
28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
30. 30.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
31. 31.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
32. 32.⏩ 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
33. 33.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) what training builds
35. 35.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
36. 36.True or false: “past weather records” is the model. (a) False (b) True
37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
38. 38.⏩ 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
39. 39.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
40. 40.True or false: “past weather records” is a prediction. (a) True (b) False

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