AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 115 · 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: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
2. 2.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) tomorrow’s rain guess (d) flagging a new email
3. 3.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) old emails marked spam (d) naming a new fruit photo
5. 5.True or false: “past weather records” is training data. (a) False (b) True
6. 6.True or false: “flagging a new email” is training data. (a) False (b) True
7. 7.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
8. 8.⏩ 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
9. 9.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) naming a new leaf (d) typing a new spoken word
10. 10.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
11. 11.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
12. 12.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
15. 15.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
17. 17.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
18. 18.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
19. 19.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
20. 20.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
21. 21.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
23. 23.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) past weather records
24. 24.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) old emails marked spam (d) the trained program
25. 25.True or false: “old emails marked spam” is training data. (a) False (b) True
26. 26.True or false: “naming a new fruit photo” is training data. (a) False (b) True
27. 27.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
28. 28.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
30. 30.True or false: “naming a new leaf” is the model. (a) True (b) False
31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) naming a new leaf (d) 500 labelled leaf photos
32. 32.True or false: “the trained program” is the model. (a) False (b) True
33. 33.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
35. 35.True or false: “naming a new leaf” is a prediction. (a) False (b) True
36. 36.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
37. 37.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
38. 38.True or false: “recorded spoken words” is training data. (a) True (b) False
39. 39.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
40. 40.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words

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