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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 884 · 40 questions
TalentJR

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.

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

Answer key

  1. the learned patterns
  2. past weather records
  3. False
  4. the learned patterns
  5. False
  6. training data
  7. a prediction
  8. recorded spoken words
  9. it learns patterns
  10. a prediction
  11. data, model, prediction
  12. False
  13. the learned patterns
  14. the trained program
  15. False
  16. the model
  17. to see if it works
  18. old emails marked spam
  19. True
  20. old emails marked spam
  21. True
  22. False
  23. the trained program
  24. training data
  25. a prediction
  26. True
  27. 500 labelled leaf photos
  28. False
  29. False
  30. training data
  31. the model
  32. True
  33. False
  34. True
  35. what training builds
  36. False
  37. training data
  38. naming a new leaf
  39. a prediction
  40. the model

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