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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 380 · 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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  2. 2.Which of these is a prediction? (a) old emails marked spam (b) the trained program (c) typing a new spoken word (d) the learned patterns
  3. 3.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) what training builds (d) tomorrow’s rain guess
  4. 4.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  5. 5.⏩ In machine learning, which comes first: recorded spoken words or typing a new spoken word? (a) recorded spoken words (b) typing a new spoken word
  6. 6.Which of these is the model? (a) naming a new leaf (b) tomorrow’s rain guess (c) the trained program (d) 500 labelled leaf photos
  7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) typing a new spoken word (d) old emails marked spam
  8. 8.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  9. 9.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  10. 10.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  11. 11.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  12. 12.⏩ 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
  13. 13.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it prints labels (d) it takes photos
  14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  15. 15.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) 500 labelled leaf photos (d) tomorrow’s rain guess
  16. 16.True or false: “typing a new spoken word” is the model. (a) True (b) False
  17. 17.True or false: “labelled fruit photos” is training data. (a) True (b) False
  18. 18.True or false: “naming a new leaf” is training data. (a) True (b) False
  19. 19.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) old emails marked spam
  20. 20.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  21. 21.🧪 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
  22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  23. 23.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  24. 24.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  25. 25.True or false: “recorded spoken words” is training data. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  27. 27.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  28. 28.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  29. 29.⏩ 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
  30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  31. 31.Which of these is training data? (a) flagging a new email (b) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
  32. 32.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  33. 33.True or false: “old emails marked spam” is training data. (a) False (b) True
  34. 34.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  36. 36.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  37. 37.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  38. 38.Which of these is training data? (a) the learned patterns (b) past weather records (c) flagging a new email (d) naming a new leaf
  39. 39.Which of these is training data? (a) the trained program (b) flagging a new email (c) recorded spoken words (d) the learned patterns
  40. 40.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False

Answer key

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

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