AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 803 · 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.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
3. 3.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
4. 4.True or false: “flagging a new email” is a prediction. (a) True (b) False
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
8. 8.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new leaf (d) past weather records
9. 9.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) the learned patterns (d) tomorrow’s rain guess
10. 10.True or false: “labelled fruit photos” is training data. (a) False (b) True
11. 11.True or false: “typing a new spoken word” is training data. (a) False (b) True
12. 12.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
15. 15.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
16. 16.Which of these is training data? (a) typing a new spoken word (b) naming a new leaf (c) 500 labelled leaf photos (d) what training builds
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
18. 18.Which of these is a prediction? (a) recorded spoken words (b) the trained program (c) typing a new spoken word (d) past weather records
19. 19.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
20. 20.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
21. 21.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
22. 22.Which of these is a prediction? (a) naming a new fruit photo (b) recorded spoken words (c) labelled fruit photos (d) what training builds
23. 23.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
24. 24.Which of these is the model? (a) naming a new fruit photo (b) past weather records (c) what training builds (d) 500 labelled leaf photos
25. 25.True or false: “past weather records” is training data. (a) True (b) False
26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
27. 27.Which of these is a prediction? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) 500 labelled leaf photos
28. 28.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) past weather records (d) old emails marked spam
29. 29.⏩ 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
30. 30.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
31. 31.True or false: “what training builds” is training data. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
33. 33.True or false: “recorded spoken words” is training data. (a) False (b) True
34. 34.True or false: “old emails marked spam” is a prediction. (a) True (b) False
35. 35.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
36. 36.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
37. 37.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
38. 38.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
40. 40.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) old emails marked spam (d) what training builds

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