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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 329 · 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.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  2. 2.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  3. 3.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  5. 5.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
  6. 6.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  7. 7.Which of these is training data? (a) the trained program (b) past weather records (c) the learned patterns (d) naming a new leaf
  8. 8.Which of these is training data? (a) the trained program (b) what training builds (c) labelled fruit photos (d) tomorrow’s rain guess
  9. 9.Which of these is training data? (a) flagging a new email (b) naming a new leaf (c) recorded spoken words (d) what training builds
  10. 10.True or false: “labelled fruit photos” is the model. (a) False (b) True
  11. 11.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  12. 12.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  13. 13.True or false: “the learned patterns” is a prediction. (a) True (b) False
  14. 14.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  15. 15.True or false: “past weather records” is training data. (a) True (b) False
  16. 16.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  17. 17.True or false: “recorded spoken words” is training data. (a) False (b) True
  18. 18.🧪 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
  19. 19.Which of these is training data? (a) tomorrow’s rain guess (b) old emails marked spam (c) naming a new leaf (d) the learned patterns
  20. 20.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  21. 21.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) labelled fruit photos (d) typing a new spoken word
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  23. 23.True or false: “the learned patterns” is training data. (a) True (b) False
  24. 24.True or false: “what training builds” is the model. (a) True (b) False
  25. 25.True or false: “the learned patterns” is the model. (a) False (b) True
  26. 26.True or false: “what training builds” is training data. (a) False (b) True
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  29. 29.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  30. 30.Which of these is training data? (a) the trained program (b) naming a new fruit photo (c) naming a new leaf (d) 500 labelled leaf photos
  31. 31.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new leaf (c) labelled fruit photos (d) what training builds
  32. 32.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
  33. 33.True or false: “past weather records” is the model. (a) True (b) False
  34. 34.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) labelled fruit photos (d) old emails marked spam
  35. 35.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) the learned patterns (d) flagging a new email
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  37. 37.Which of these is the model? (a) what training builds (b) past weather records (c) 500 labelled leaf photos (d) recorded spoken words
  38. 38.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  39. 39.True or false: “old emails marked spam” is training data. (a) False (b) True
  40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data

Answer key

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

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