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AI Worksheet: Training Data, Model, Prediction

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

Answer key

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

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