AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 573 · 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.True or false: “the trained program” is the model. (a) False (b) True
2. 2.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to make it slower (d) to delete its data
3. 3.True or false: “flagging a new email” is the model. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
5. 5.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
6. 6.True or false: “the learned patterns” is the model. (a) False (b) True
7. 7.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
8. 8.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
9. 9.⏩ In machine learning, which comes first: old emails marked spam or the trained program? (a) old emails marked spam (b) the trained program
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
11. 11.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
12. 12.Which of these is the model? (a) naming a new leaf (b) flagging a new email (c) what training builds (d) recorded spoken words
13. 13.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
15. 15.True or false: “what training builds” is a prediction. (a) False (b) True
16. 16.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
19. 19.True or false: “what training builds” is the model. (a) False (b) True
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
21. 21.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
22. 22.Which of these is training data? (a) the learned patterns (b) flagging a new email (c) naming a new leaf (d) past weather records
23. 23.Which of these is the model? (a) flagging a new email (b) the learned patterns (c) past weather records (d) naming a new leaf
24. 24.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) old emails marked spam (d) the learned patterns
25. 25.True or false: “labelled fruit photos” is training data. (a) False (b) True
26. 26.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
27. 27.Which of these is a prediction? (a) 500 labelled leaf photos (b) tomorrow’s rain guess (c) labelled fruit photos (d) what training builds
28. 28.True or false: “past weather records” is the model. (a) False (b) True
29. 29.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
32. 32.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
33. 33.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
34. 34.Which of these is the model? (a) labelled fruit photos (b) recorded spoken words (c) 500 labelled leaf photos (d) the trained program
35. 35.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
37. 37.True or false: “past weather records” is training data. (a) True (b) False
38. 38.Which of these is training data? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) the learned patterns
39. 39.True or false: “typing a new spoken word” is the model. (a) True (b) False
40. 40.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) the learned patterns (d) recorded spoken words

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