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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 318 · 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.Which of these is training data? (a) naming a new leaf (b) the trained program (c) typing a new spoken word (d) old emails marked spam
  3. 3.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  4. 4.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  5. 5.Which of these is a prediction? (a) tomorrow’s rain guess (b) old emails marked spam (c) the learned patterns (d) what training builds
  6. 6.Which of these is a prediction? (a) the trained program (b) past weather records (c) typing a new spoken word (d) old emails marked spam
  7. 7.🧪 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
  8. 8.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  9. 9.Which of these is training data? (a) naming a new leaf (b) what training builds (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  10. 10.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  11. 11.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  12. 12.True or false: “recorded spoken words” is training data. (a) False (b) True
  13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  14. 14.Which of these is the model? (a) past weather records (b) 500 labelled leaf photos (c) the learned patterns (d) old emails marked spam
  15. 15.Which of these is training data? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) what training builds
  16. 16.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  17. 17.Which of these is the model? (a) what training builds (b) naming a new leaf (c) old emails marked spam (d) recorded spoken words
  18. 18.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  19. 19.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
  20. 20.⏩ In machine learning, which comes first: naming a new leaf or past weather records? (a) naming a new leaf (b) past weather records
  21. 21.True or false: “flagging a new email” is a prediction. (a) True (b) False
  22. 22.Which of these is a prediction? (a) what training builds (b) old emails marked spam (c) recorded spoken words (d) naming a new fruit photo
  23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  24. 24.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  25. 25.⏩ 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
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  27. 27.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
  28. 28.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
  29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  30. 30.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  31. 31.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
  32. 32.⏩ 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
  33. 33.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
  34. 34.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
  35. 35.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
  36. 36.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
  37. 37.Which of these is a prediction? (a) recorded spoken words (b) flagging a new email (c) past weather records (d) the trained program
  38. 38.True or false: “what training builds” is a prediction. (a) False (b) True
  39. 39.True or false: “labelled fruit photos” is training data. (a) True (b) False
  40. 40.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction

Answer key

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

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