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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 411 · 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.Which of these is training data? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) naming a new leaf
  2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a label error (d) a password
  3. 3.Which of these is training data? (a) the learned patterns (b) what training builds (c) typing a new spoken word (d) labelled fruit photos
  4. 4.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  5. 5.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  6. 6.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  7. 7.True or false: “old emails marked spam” is training data. (a) False (b) True
  8. 8.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  10. 10.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) recorded spoken words (d) naming a new leaf
  11. 11.True or false: “naming a new leaf” is training data. (a) False (b) True
  12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  13. 13.True or false: “the learned patterns” is the model. (a) True (b) False
  14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  15. 15.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  16. 16.Which of these is training data? (a) typing a new spoken word (b) 500 labelled leaf photos (c) flagging a new email (d) tomorrow’s rain guess
  17. 17.True or false: “past weather records” is training data. (a) False (b) True
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  21. 21.🧪 Why test a model on NEW examples? (a) to see if it works (b) to change its name (c) to make it slower (d) to delete its data
  22. 22.True or false: “the trained program” is training data. (a) False (b) True
  23. 23.Which of these is training data? (a) what training builds (b) the trained program (c) typing a new spoken word (d) recorded spoken words
  24. 24.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
  25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or tomorrow’s rain guess? (a) 500 labelled leaf photos (b) tomorrow’s rain guess
  26. 26.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  27. 27.True or false: “the trained program” is the model. (a) False (b) True
  28. 28.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  29. 29.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  30. 30.True or false: “the learned patterns” is training data. (a) False (b) True
  31. 31.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  34. 34.Which of these is the model? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) flagging a new email
  35. 35.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
  36. 36.True or false: “naming a new leaf” is the model. (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  38. 38.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) flagging a new email (d) the trained program
  39. 39.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  40. 40.True or false: “the trained program” is a prediction. (a) True (b) False

Answer key

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

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