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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 512 · 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: “past weather records”? (a) the model (b) a prediction (c) training data
  2. 2.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  4. 4.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  5. 5.True or false: “the trained program” is the model. (a) False (b) True
  6. 6.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  7. 7.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  8. 8.True or false: “what training builds” is a prediction. (a) False (b) True
  9. 9.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) flagging a new email (d) the trained program
  10. 10.Which of these is training data? (a) flagging a new email (b) the learned patterns (c) what training builds (d) 500 labelled leaf photos
  11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  12. 12.True or false: “past weather records” is a prediction. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: past weather records or flagging a new email? (a) past weather records (b) flagging a new email
  14. 14.True or false: “labelled fruit photos” is training data. (a) False (b) True
  15. 15.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  16. 16.Which of these is the model? (a) the learned patterns (b) naming a new leaf (c) flagging a new email (d) recorded spoken words
  17. 17.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  19. 19.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) the trained program
  20. 20.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or recorded spoken words? (a) tomorrow’s rain guess (b) recorded spoken words
  22. 22.⏩ 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
  23. 23.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  24. 24.Which of these is a prediction? (a) past weather records (b) recorded spoken words (c) old emails marked spam (d) naming a new leaf
  25. 25.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  26. 26.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  27. 27.True or false: “recorded spoken words” is training data. (a) False (b) True
  28. 28.Which of these is a prediction? (a) labelled fruit photos (b) flagging a new email (c) past weather records (d) recorded spoken words
  29. 29.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  30. 30.⏩ In machine learning, which comes first: the trained program or labelled fruit photos? (a) the trained program (b) labelled fruit photos
  31. 31.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  33. 33.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  34. 34.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  35. 35.⏩ 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
  36. 36.True or false: “the learned patterns” is training data. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) training data (c) the model
  38. 38.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  39. 39.Which of these is training data? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) past weather records
  40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

Answer key

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

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