AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 224 · 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: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
2. 2.True or false: “what training builds” is a prediction. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
4. 4.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
5. 5.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
6. 6.True or false: “recorded spoken words” is a prediction. (a) False (b) True
7. 7.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
8. 8.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
10. 10.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
11. 11.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
12. 12.True or false: “the trained program” is the model. (a) True (b) False
13. 13.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
14. 14.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
15. 15.True or false: “naming a new leaf” is a prediction. (a) False (b) True
16. 16.Which of these is the model? (a) old emails marked spam (b) naming a new fruit photo (c) 500 labelled leaf photos (d) the learned patterns
17. 17.Which of these is the model? (a) past weather records (b) naming a new fruit photo (c) old emails marked spam (d) what training builds
18. 18.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
19. 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
20. 20.True or false: “the trained program” is training data. (a) False (b) True
21. 21.Which of these is training data? (a) past weather records (b) naming a new leaf (c) typing a new spoken word (d) naming a new fruit photo
22. 22.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
23. 23.⏩ 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
24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
25. 25.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
26. 26.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
27. 27.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) recorded spoken words
28. 28.True or false: “what training builds” is training data. (a) False (b) True
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
30. 30.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) old emails marked spam
31. 31.True or false: “labelled fruit photos” is training data. (a) True (b) False
32. 32.True or false: “naming a new fruit photo” is training data. (a) True (b) False
33. 33.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) tomorrow’s rain guess (d) old emails marked spam
34. 34.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
36. 36.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) flagging a new email (d) 500 labelled leaf photos
37. 37.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.True or false: “the learned patterns” is training data. (a) True (b) False

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