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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 397 · 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.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  3. 3.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
  4. 4.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  5. 5.🔮 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
  6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  7. 7.True or false: “the trained program” is training data. (a) False (b) True
  8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to see if it works (d) to make it slower
  9. 9.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  10. 10.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  11. 11.True or false: “labelled fruit photos” is the model. (a) True (b) False
  12. 12.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: typing a new spoken word or recorded spoken words? (a) typing a new spoken word (b) recorded spoken words
  14. 14.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) labelled fruit photos (d) recorded spoken words
  15. 15.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  16. 16.True or false: “labelled fruit photos” is training data. (a) True (b) False
  17. 17.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  18. 18.⏩ 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
  19. 19.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
  20. 20.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  21. 21.True or false: “what training builds” is the model. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  23. 23.True or false: “naming a new leaf” is training data. (a) False (b) True
  24. 24.True or false: “flagging a new email” is the model. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  27. 27.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) the trained program
  28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  29. 29.⏩ 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
  30. 30.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  31. 31.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  33. 33.True or false: “the learned patterns” is training data. (a) True (b) False
  34. 34.Which of these is a prediction? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) the trained program
  35. 35.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  36. 36.Which of these is training data? (a) naming a new leaf (b) what training builds (c) tomorrow’s rain guess (d) labelled fruit photos
  37. 37.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  39. 39.True or false: “the trained program” is the model. (a) False (b) True
  40. 40.True or false: “old emails marked spam” is a prediction. (a) False (b) True

Answer key

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

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