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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 302 · 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.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  2. 2.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  3. 3.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  4. 4.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  5. 5.True or false: “old emails marked spam” is training data. (a) True (b) False
  6. 6.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  7. 7.True or false: “labelled fruit photos” is the model. (a) False (b) True
  8. 8.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
  9. 9.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  10. 10.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a password (d) a label error
  11. 11.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  12. 12.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) labelled fruit photos
  13. 13.⏩ In machine learning, which comes first: the trained program or old emails marked spam? (a) the trained program (b) old emails marked spam
  14. 14.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) the model (b) a prediction (c) training data
  15. 15.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  16. 16.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) naming a new fruit photo (d) the learned patterns
  17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  18. 18.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  19. 19.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) the learned patterns (c) flagging a new email (d) recorded spoken words
  21. 21.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  22. 22.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  23. 23.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
  24. 24.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  25. 25.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  26. 26.⏩ 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
  27. 27.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  28. 28.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  29. 29.True or false: “the trained program” is a prediction. (a) False (b) True
  30. 30.True or false: “the learned patterns” is a prediction. (a) False (b) True
  31. 31.True or false: “old emails marked spam” is the model. (a) False (b) True
  32. 32.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  33. 33.True or false: “recorded spoken words” is training data. (a) True (b) False
  34. 34.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  35. 35.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  36. 36.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  37. 37.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) past weather records (d) the trained program
  38. 38.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
  39. 39.True or false: “labelled fruit photos” is training data. (a) True (b) False
  40. 40.True or false: “past weather records” is training data. (a) False (b) True

Answer key

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

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