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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 554 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  2. 2.Which of these is the model? (a) tomorrow’s rain guess (b) typing a new spoken word (c) what training builds (d) recorded spoken words
  3. 3.Which of these is training data? (a) what training builds (b) naming a new leaf (c) flagging a new email (d) past weather records
  4. 4.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  5. 5.🧪 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
  6. 6.Which of these is training data? (a) typing a new spoken word (b) recorded spoken words (c) flagging a new email (d) naming a new fruit photo
  7. 7.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  8. 8.True or false: “old emails marked spam” is the model. (a) False (b) True
  9. 9.True or false: “500 labelled leaf photos” is the model. (a) True (b) False
  10. 10.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) naming a new leaf
  11. 11.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  12. 12.Which of these is the model? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the trained program
  13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  14. 14.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  15. 15.Which of these is a prediction? (a) recorded spoken words (b) past weather records (c) the learned patterns (d) typing a new spoken word
  16. 16.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  18. 18.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  19. 19.Which of these is a prediction? (a) recorded spoken words (b) tomorrow’s rain guess (c) labelled fruit photos (d) old emails marked spam
  20. 20.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  21. 21.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  22. 22.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
  23. 23.True or false: “past weather records” is training data. (a) True (b) False
  24. 24.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  25. 25.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  27. 27.True or false: “flagging a new email” is the model. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  29. 29.Which of these is the model? (a) old emails marked spam (b) past weather records (c) naming a new fruit photo (d) the learned patterns
  30. 30.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  31. 31.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  33. 33.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  34. 34.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  35. 35.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  36. 36.True or false: “typing a new spoken word” is training data. (a) False (b) True
  37. 37.Which of these is a prediction? (a) the trained program (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new fruit photo
  38. 38.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
  39. 39.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  40. 40.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True

Answer key

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

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