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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 491 · 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.

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

Answer key

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

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