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AI Worksheet: Training Data, Model, Prediction

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

Answer key

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

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