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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 889 · 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.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  2. 2.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  3. 3.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  5. 5.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) naming a new fruit photo (d) the learned patterns
  6. 6.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) naming a new fruit photo (d) flagging a new email
  7. 7.True or false: “what training builds” is the model. (a) False (b) True
  8. 8.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) recorded spoken words (d) labelled fruit photos
  9. 9.Which of these is training data? (a) naming a new leaf (b) the trained program (c) labelled fruit photos (d) typing a new spoken word
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  11. 11.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
  12. 12.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  13. 13.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  14. 14.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  15. 15.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  16. 16.🔮 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
  17. 17.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) recorded spoken words (d) the learned patterns
  18. 18.Which of these is training data? (a) the trained program (b) old emails marked spam (c) typing a new spoken word (d) flagging a new email
  19. 19.True or false: “the trained program” is a prediction. (a) False (b) True
  20. 20.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  21. 21.Which of these is a prediction? (a) labelled fruit photos (b) recorded spoken words (c) 500 labelled leaf photos (d) flagging a new email
  22. 22.Which of these is the model? (a) labelled fruit photos (b) tomorrow’s rain guess (c) the trained program (d) naming a new fruit photo
  23. 23.⏩ 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
  24. 24.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) what training builds (d) typing a new spoken word
  25. 25.True or false: “labelled fruit photos” is the model. (a) False (b) True
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  27. 27.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  28. 28.Which of these is training data? (a) the learned patterns (b) the trained program (c) typing a new spoken word (d) 500 labelled leaf photos
  29. 29.True or false: “naming a new leaf” is training data. (a) False (b) True
  30. 30.True or false: “the learned patterns” is training data. (a) True (b) False
  31. 31.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  32. 32.True or false: “old emails marked spam” is the model. (a) False (b) True
  33. 33.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  34. 34.True or false: “past weather records” is training data. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  36. 36.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  37. 37.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  38. 38.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  39. 39.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
  40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction

Answer key

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

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