AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 509 · 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: “old emails marked spam”? (a) training data (b) a prediction (c) the model
2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) training data (c) a prediction
3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
4. 4.Which of these is the model? (a) what training builds (b) tomorrow’s rain guess (c) recorded spoken words (d) flagging a new email
5. 5.True or false: “labelled fruit photos” is training data. (a) True (b) False
6. 6.True or false: “typing a new spoken word” is training data. (a) False (b) True
7. 7.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
8. 8.True or false: “the learned patterns” is the model. (a) True (b) False
9. 9.Which of these is the model? (a) flagging a new email (b) past weather records (c) 500 labelled leaf photos (d) the trained program
10. 10.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
11. 11.True or false: “recorded spoken words” is a prediction. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
13. 13.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
14. 14.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
16. 16.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
17. 17.True or false: “old emails marked spam” is the model. (a) False (b) True
18. 18.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
19. 19.Which of these is a prediction? (a) the trained program (b) typing a new spoken word (c) what training builds (d) past weather records
20. 20.Which of these is training data? (a) the learned patterns (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
22. 22.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
23. 23.True or false: “flagging a new email” is the model. (a) False (b) True
24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
25. 25.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
27. 27.True or false: “naming a new leaf” is the model. (a) False (b) True
28. 28.True or false: “naming a new fruit photo” is the model. (a) False (b) True
29. 29.True or false: “the trained program” is the model. (a) False (b) True
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) labelled fruit photos (d) naming a new leaf
31. 31.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
32. 32.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
33. 33.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
34. 34.True or false: “the learned patterns” is a prediction. (a) True (b) False
35. 35.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) flagging a new email (d) the trained program
36. 36.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
37. 37.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
38. 38.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
39. 39.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) naming a new leaf (d) naming a new fruit photo
40. 40.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds

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