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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 717 · 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 the model? (a) tomorrow’s rain guess (b) what training builds (c) naming a new fruit photo (d) labelled fruit photos
  2. 2.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  3. 3.⏩ 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
  4. 4.Which of these is the model? (a) the learned patterns (b) old emails marked spam (c) 500 labelled leaf photos (d) flagging a new email
  5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  7. 7.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  8. 8.True or false: “naming a new leaf” is the model. (a) True (b) False
  9. 9.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  10. 10.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) naming a new fruit photo (d) 500 labelled leaf photos
  11. 11.Which of these is training data? (a) the trained program (b) what training builds (c) recorded spoken words (d) naming a new leaf
  12. 12.True or false: “old emails marked spam” is training data. (a) True (b) False
  13. 13.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  14. 14.True or false: “the learned patterns” is the model. (a) False (b) True
  15. 15.True or false: “the trained program” is the model. (a) False (b) True
  16. 16.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) recorded spoken words (d) what training builds
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  18. 18.True or false: “what training builds” is training data. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
  20. 20.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the trained program (d) naming a new leaf
  21. 21.True or false: “recorded spoken words” is the model. (a) False (b) True
  22. 22.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  23. 23.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  25. 25.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  26. 26.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  27. 27.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  28. 28.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  29. 29.True or false: “labelled fruit photos” is the model. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  31. 31.⏩ 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
  32. 32.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  33. 33.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  34. 34.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) what training builds (d) the learned patterns
  35. 35.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) a prediction (c) training data
  36. 36.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  37. 37.True or false: “old emails marked spam” is the model. (a) True (b) False
  38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the learned patterns (d) labelled fruit photos
  39. 39.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  40. 40.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns

Answer key

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

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