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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 98 · 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.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  2. 2.True or false: “labelled fruit photos” is training data. (a) False (b) True
  3. 3.True or false: “typing a new spoken word” is training data. (a) True (b) False
  4. 4.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  5. 5.Which of these is training data? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) what training builds
  6. 6.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  7. 7.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
  8. 8.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) flagging a new email (d) tomorrow’s rain guess
  9. 9.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  10. 10.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  11. 11.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  12. 12.Which of these is the model? (a) what training builds (b) tomorrow’s rain guess (c) old emails marked spam (d) labelled fruit photos
  13. 13.⏩ 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
  14. 14.True or false: “the trained program” is the model. (a) True (b) False
  15. 15.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) the trained program (d) tomorrow’s rain guess
  16. 16.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  17. 17.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  18. 18.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  20. 20.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) the trained program
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  22. 22.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
  23. 23.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  25. 25.⏩ 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
  26. 26.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) data, prediction, model (d) model, prediction, data
  27. 27.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  28. 28.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  29. 29.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  31. 31.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to delete its data (d) to make it slower
  32. 32.⏩ 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
  33. 33.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  34. 34.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  35. 35.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  36. 36.True or false: “recorded spoken words” is the model. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  38. 38.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  39. 39.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf

Answer key

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

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