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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 943 · 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 tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  2. 2.Which of these is the model? (a) flagging a new email (b) the trained program (c) past weather records (d) naming a new leaf
  3. 3.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  4. 4.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  5. 5.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) 500 labelled leaf photos (d) flagging a new email
  6. 6.🔮 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
  7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  8. 8.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records
  9. 9.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  10. 10.Which of these is a prediction? (a) the learned patterns (b) naming a new leaf (c) labelled fruit photos (d) old emails marked spam
  11. 11.Which of these is training data? (a) naming a new fruit photo (b) typing a new spoken word (c) what training builds (d) old emails marked spam
  12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  13. 13.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  14. 14.True or false: “what training builds” is training data. (a) False (b) True
  15. 15.True or false: “the trained program” is a prediction. (a) True (b) False
  16. 16.True or false: “old emails marked spam” is training data. (a) False (b) True
  17. 17.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  18. 18.Which of these is the model? (a) typing a new spoken word (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
  19. 19.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  20. 20.True or false: “flagging a new email” is a prediction. (a) False (b) True
  21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  22. 22.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  23. 23.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  24. 24.True or false: “past weather records” is training data. (a) False (b) True
  25. 25.True or false: “what training builds” is a prediction. (a) True (b) False
  26. 26.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  27. 27.Which of these is training data? (a) past weather records (b) what training builds (c) the learned patterns (d) flagging a new email
  28. 28.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  30. 30.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  32. 32.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  33. 33.True or false: “past weather records” is the model. (a) False (b) True
  34. 34.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) recorded spoken words (d) what training builds
  35. 35.True or false: “naming a new leaf” is training data. (a) True (b) False
  36. 36.True or false: “labelled fruit photos” is training data. (a) False (b) True
  37. 37.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) the trained program (d) typing a new spoken word
  38. 38.True or false: “typing a new spoken word” is the model. (a) False (b) True
  39. 39.Which of these is the model? (a) what training builds (b) labelled fruit photos (c) naming a new leaf (d) tomorrow’s rain guess
  40. 40.True or false: “recorded spoken words” is the model. (a) True (b) False

Answer key

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

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