AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 296 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
2. 2.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
3. 3.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) what training builds (d) the trained program
4. 4.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
5. 5.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
7. 7.True or false: “the learned patterns” is a prediction. (a) False (b) True
8. 8.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
9. 9.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
10. 10.True or false: “the trained program” is training data. (a) True (b) False
11. 11.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
13. 13.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
14. 14.True or false: “what training builds” is a prediction. (a) True (b) False
15. 15.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
16. 16.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
17. 17.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
18. 18.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
19. 19.True or false: “what training builds” is the model. (a) True (b) False
20. 20.Which of these is the model? (a) recorded spoken words (b) labelled fruit photos (c) 500 labelled leaf photos (d) the trained program
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
23. 23.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
24. 24.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) what training builds
25. 25.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
26. 26.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
28. 28.Which of these is the model? (a) naming a new fruit photo (b) flagging a new email (c) what training builds (d) recorded spoken words
29. 29.True or false: “flagging a new email” is training data. (a) False (b) True
30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) the trained program (c) flagging a new email (d) tomorrow’s rain guess
31. 31.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
32. 32.True or false: “old emails marked spam” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
34. 34.True or false: “naming a new fruit photo” is training data. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
36. 36.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) naming a new fruit photo (d) the learned patterns
37. 37.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) what training builds (d) labelled fruit photos
38. 38.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
39. 39.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns

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