AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 464 · 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: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
2. 2.Which of these is the model? (a) the trained program (b) naming a new leaf (c) labelled fruit photos (d) 500 labelled leaf photos
3. 3.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
4. 4.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
5. 5.⏩ 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
6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
7. 7.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
8. 8.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
10. 10.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
11. 11.True or false: “past weather records” is the model. (a) True (b) False
12. 12.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the learned patterns (d) past weather records
13. 13.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
15. 15.Which of these is training data? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) the learned patterns
16. 16.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) recorded spoken words
17. 17.Which of these is training data? (a) labelled fruit photos (b) naming a new fruit photo (c) tomorrow’s rain guess (d) naming a new leaf
18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
20. 20.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
21. 21.True or false: “naming a new leaf” is a prediction. (a) True (b) False
22. 22.⏩ 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
23. 23.True or false: “labelled fruit photos” is training data. (a) True (b) False
24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
25. 25.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) the learned patterns
26. 26.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
27. 27.Which of these is training data? (a) typing a new spoken word (b) naming a new fruit photo (c) naming a new leaf (d) old emails marked spam
28. 28.True or false: “the trained program” is the model. (a) False (b) True
29. 29.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
30. 30.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
31. 31.True or false: “naming a new leaf” is training data. (a) False (b) True
32. 32.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
33. 33.True or false: “what training builds” is training data. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
36. 36.Which of these is a prediction? (a) old emails marked spam (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
37. 37.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
38. 38.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
40. 40.True or false: “recorded spoken words” is training data. (a) False (b) True

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