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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 830 · 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, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
  2. 2.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  3. 3.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
  4. 4.⏩ 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
  5. 5.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) naming a new leaf (d) what training builds
  6. 6.Which of these is training data? (a) the trained program (b) old emails marked spam (c) what training builds (d) typing a new spoken word
  7. 7.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  8. 8.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) the trained program
  9. 9.True or false: “recorded spoken words” is training data. (a) True (b) False
  10. 10.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  11. 11.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  12. 12.Which of these is a prediction? (a) 500 labelled leaf photos (b) old emails marked spam (c) what training builds (d) naming a new fruit photo
  13. 13.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) old emails marked spam
  14. 14.Which of these is training data? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) naming a new fruit photo (d) the learned patterns
  15. 15.Which of these is a prediction? (a) past weather records (b) naming a new leaf (c) old emails marked spam (d) the learned patterns
  16. 16.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  18. 18.🧪 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
  19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  20. 20.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  21. 21.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  22. 22.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  23. 23.⏩ In machine learning, which comes first: what training builds or naming a new fruit photo? (a) what training builds (b) naming a new fruit photo
  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.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
  26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  27. 27.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  29. 29.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  30. 30.Which of these is training data? (a) naming a new leaf (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
  31. 31.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  32. 32.True or false: “the learned patterns” is a prediction. (a) True (b) False
  33. 33.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  34. 34.True or false: “naming a new leaf” is the model. (a) True (b) False
  35. 35.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  36. 36.Which of these is training data? (a) the trained program (b) the learned patterns (c) flagging a new email (d) labelled fruit photos
  37. 37.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) typing a new spoken word (d) the trained program
  38. 38.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) what training builds (d) typing a new spoken word
  39. 39.True or false: “naming a new leaf” is training data. (a) True (b) False
  40. 40.⏩ 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

Answer key

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

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