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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 359 · 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: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  2. 2.Which of these is training data? (a) what training builds (b) typing a new spoken word (c) naming a new fruit photo (d) past weather records
  3. 3.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  4. 4.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  5. 5.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
  6. 6.True or false: “past weather records” is training data. (a) False (b) True
  7. 7.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) the trained program (d) the learned patterns
  8. 8.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) prediction, data, model (d) model, prediction, data
  9. 9.True or false: “the learned patterns” is training data. (a) False (b) True
  10. 10.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  11. 11.Which of these is the model? (a) flagging a new email (b) the trained program (c) recorded spoken words (d) typing a new spoken word
  12. 12.Which of these is a prediction? (a) the learned patterns (b) what training builds (c) past weather records (d) tomorrow’s rain guess
  13. 13.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  15. 15.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  16. 16.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  17. 17.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) naming a new leaf
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  19. 19.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) the learned patterns (d) flagging a new email
  20. 20.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to change its name (d) to make it slower
  21. 21.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  22. 22.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new fruit photo (d) flagging a new email
  23. 23.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  25. 25.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  26. 26.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  27. 27.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  28. 28.True or false: “the learned patterns” is the model. (a) False (b) True
  29. 29.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  31. 31.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  32. 32.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) recorded spoken words (d) naming a new fruit photo
  33. 33.True or false: “old emails marked spam” is the model. (a) False (b) True
  34. 34.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  35. 35.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  36. 36.Which of these is the model? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) past weather records
  37. 37.⏩ 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
  38. 38.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  39. 39.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  40. 40.True or false: “past weather records” is the model. (a) True (b) False

Answer key

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

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