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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 313 · 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: “500 labelled leaf photos” is training data. (a) True (b) False
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  3. 3.True or false: “past weather records” is training data. (a) False (b) True
  4. 4.🧪 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
  5. 5.Which of these is training data? (a) naming a new fruit photo (b) old emails marked spam (c) tomorrow’s rain guess (d) naming a new leaf
  6. 6.True or false: “the learned patterns” is training data. (a) False (b) True
  7. 7.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
  8. 8.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) training data (c) a label error (d) a password
  9. 9.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  10. 10.Which of these is the model? (a) 500 labelled leaf photos (b) old emails marked spam (c) the learned patterns (d) tomorrow’s rain guess
  11. 11.⏩ 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
  12. 12.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  13. 13.Which of these is training data? (a) the learned patterns (b) past weather records (c) flagging a new email (d) typing a new spoken word
  14. 14.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  15. 15.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  18. 18.True or false: “past weather records” is the model. (a) False (b) True
  19. 19.Which of these is the model? (a) the trained program (b) 500 labelled leaf photos (c) old emails marked spam (d) recorded spoken words
  20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
  21. 21.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  22. 22.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it charges up (d) it takes photos
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  24. 24.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
  25. 25.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  27. 27.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  28. 28.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  30. 30.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
  31. 31.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  32. 32.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  33. 33.True or false: “past weather records” is a prediction. (a) True (b) False
  34. 34.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  35. 35.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  36. 36.True or false: “the trained program” is training data. (a) True (b) False
  37. 37.Which of these is training data? (a) recorded spoken words (b) typing a new spoken word (c) what training builds (d) naming a new fruit photo
  38. 38.Which of these is a prediction? (a) old emails marked spam (b) typing a new spoken word (c) 500 labelled leaf photos (d) the learned patterns
  39. 39.Which of these is training data? (a) the learned patterns (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
  40. 40.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds

Answer key

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

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