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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 643 · 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) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  3. 3.True or false: “labelled fruit photos” is training data. (a) False (b) True
  4. 4.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  5. 5.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new leaf (d) the learned patterns
  6. 6.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  7. 7.Which of these is a prediction? (a) flagging a new email (b) old emails marked spam (c) what training builds (d) recorded spoken words
  8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  9. 9.Which of these is training data? (a) past weather records (b) naming a new fruit photo (c) typing a new spoken word (d) the trained program
  10. 10.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) the learned patterns (d) flagging a new email
  11. 11.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  12. 12.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  13. 13.Which of these is training data? (a) tomorrow’s rain guess (b) what training builds (c) typing a new spoken word (d) recorded spoken words
  14. 14.⏩ 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
  15. 15.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  16. 16.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  17. 17.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) past weather records (d) tomorrow’s rain guess
  18. 18.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  19. 19.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  20. 20.True or false: “old emails marked spam” is training data. (a) True (b) False
  21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  23. 23.True or false: “old emails marked spam” is the model. (a) False (b) True
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  25. 25.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  27. 27.True or false: “what training builds” is a prediction. (a) True (b) False
  28. 28.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  31. 31.⏩ 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
  32. 32.⏩ 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
  33. 33.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  34. 34.⏩ 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
  35. 35.True or false: “recorded spoken words” is the model. (a) True (b) False
  36. 36.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  37. 37.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the learned patterns (d) labelled fruit photos
  38. 38.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  39. 39.Which of these is the model? (a) past weather records (b) recorded spoken words (c) naming a new leaf (d) the learned patterns
  40. 40.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction

Answer key

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

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