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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 104 · 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.True or false: “naming a new leaf” is training data. (a) False (b) True
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  3. 3.⏩ 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
  4. 4.🧪 Why test a model on NEW examples? (a) to change its name (b) to see if it works (c) to delete its data (d) to make it slower
  5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a prediction (d) a password
  6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  7. 7.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) 500 labelled leaf photos (d) tomorrow’s rain guess
  8. 8.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) what training builds (d) 500 labelled leaf photos
  9. 9.⏩ 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
  10. 10.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  11. 11.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  12. 12.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  14. 14.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
  15. 15.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  16. 16.Which of these is a prediction? (a) past weather records (b) 500 labelled leaf photos (c) typing a new spoken word (d) old emails marked spam
  17. 17.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  18. 18.Which of these is training data? (a) flagging a new email (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
  19. 19.True or false: “the trained program” is the model. (a) True (b) False
  20. 20.Which of these is the model? (a) labelled fruit photos (b) old emails marked spam (c) past weather records (d) the learned patterns
  21. 21.⏩ 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
  22. 22.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) labelled fruit photos
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  24. 24.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  25. 25.True or false: “the trained program” is a prediction. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  27. 27.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  28. 28.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) training data (c) a prediction
  29. 29.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  30. 30.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  31. 31.Which of these is a prediction? (a) flagging a new email (b) the learned patterns (c) the trained program (d) old emails marked spam
  32. 32.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
  34. 34.⏩ In machine learning, which comes first: past weather records or naming a new fruit photo? (a) past weather records (b) naming a new fruit photo
  35. 35.True or false: “flagging a new email” is training data. (a) False (b) True
  36. 36.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
  37. 37.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  38. 38.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  39. 39.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) old emails marked spam (d) the trained program
  40. 40.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds

Answer key

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

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