AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 338 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
2. 2.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
3. 3.⏩ 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
4. 4.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
5. 5.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
6. 6.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
7. 7.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the learned patterns (d) naming a new fruit photo
8. 8.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
9. 9.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) naming a new leaf (d) tomorrow’s rain guess
10. 10.True or false: “flagging a new email” is the model. (a) True (b) False
11. 11.⏩ 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
12. 12.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new fruit photo (d) old emails marked spam
13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
14. 14.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
15. 15.True or false: “typing a new spoken word” is training data. (a) True (b) False
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
17. 17.⏩ 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
18. 18.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
19. 19.Which of these is a prediction? (a) typing a new spoken word (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
20. 20.True or false: “old emails marked spam” is a prediction. (a) True (b) False
21. 21.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
22. 22.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
23. 23.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
25. 25.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
26. 26.True or false: “past weather records” is the model. (a) True (b) False
27. 27.True or false: “old emails marked spam” is training data. (a) False (b) True
28. 28.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
29. 29.True or false: “recorded spoken words” is training data. (a) False (b) True
30. 30.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
31. 31.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) the trained program
32. 32.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
33. 33.True or false: “what training builds” is a prediction. (a) True (b) False
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 leaf”? (a) a prediction (b) the model (c) training data
36. 36.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
37. 37.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
39. 39.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) flagging a new email (d) what training builds
40. 40.Which of these is the model? (a) tomorrow’s rain guess (b) flagging a new email (c) labelled fruit photos (d) the learned patterns

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