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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 485 · 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) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  2. 2.True or false: “labelled fruit photos” is training data. (a) True (b) False
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  4. 4.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new fruit photo (c) the trained program (d) 500 labelled leaf photos
  5. 5.Which of these is training data? (a) naming a new leaf (b) old emails marked spam (c) what training builds (d) the trained program
  6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  7. 7.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  8. 8.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  9. 9.Which of these is a prediction? (a) what training builds (b) typing a new spoken word (c) 500 labelled leaf photos (d) recorded spoken words
  10. 10.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it charges up (d) it learns patterns
  11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  12. 12.True or false: “what training builds” is the model. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  14. 14.Which of these is training data? (a) the learned patterns (b) tomorrow’s rain guess (c) what training builds (d) past weather records
  15. 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  16. 16.Which of these is training data? (a) labelled fruit photos (b) the trained program (c) flagging a new email (d) tomorrow’s rain guess
  17. 17.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  18. 18.True or false: “the learned patterns” is training data. (a) True (b) False
  19. 19.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  20. 20.Which of these is the model? (a) typing a new spoken word (b) labelled fruit photos (c) what training builds (d) naming a new leaf
  21. 21.⏩ 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
  22. 22.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  23. 23.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  24. 24.Which of these is a prediction? (a) naming a new fruit photo (b) the learned patterns (c) labelled fruit photos (d) old emails marked spam
  25. 25.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  26. 26.Which of these is the model? (a) labelled fruit photos (b) flagging a new email (c) 500 labelled leaf photos (d) the learned patterns
  27. 27.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  29. 29.True or false: “naming a new fruit photo” is training data. (a) True (b) False
  30. 30.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  31. 31.True or false: “past weather records” is training data. (a) False (b) True
  32. 32.Which of these is training data? (a) what training builds (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  34. 34.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  35. 35.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
  36. 36.⏩ In machine learning, which comes first: what training builds or 500 labelled leaf photos? (a) what training builds (b) 500 labelled leaf photos
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  38. 38.⏩ 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
  39. 39.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  40. 40.Which of these is a prediction? (a) past weather records (b) the trained program (c) labelled fruit photos (d) tomorrow’s rain guess

Answer key

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

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