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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 163 · 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: “the learned patterns”? (a) training data (b) a prediction (c) the model
  2. 2.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) old emails marked spam (d) flagging a new email
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  5. 5.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  6. 6.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
  7. 7.⏩ In machine learning, which comes first: old emails marked spam or naming a new fruit photo? (a) old emails marked spam (b) naming a new fruit photo
  8. 8.Which of these is a prediction? (a) tomorrow’s rain guess (b) labelled fruit photos (c) what training builds (d) recorded spoken words
  9. 9.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  10. 10.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
  11. 11.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  13. 13.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) typing a new spoken word (d) 500 labelled leaf photos
  14. 14.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  16. 16.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  18. 18.Which of these is the model? (a) flagging a new email (b) labelled fruit photos (c) naming a new fruit photo (d) the learned patterns
  19. 19.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  20. 20.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to see if it works (d) to delete its data
  21. 21.⏩ In machine learning, which comes first: tomorrow’s rain guess or what training builds? (a) tomorrow’s rain guess (b) what training builds
  22. 22.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  23. 23.True or false: “what training builds” is a prediction. (a) False (b) True
  24. 24.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  25. 25.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  26. 26.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  27. 27.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) the learned patterns (d) typing a new spoken word
  28. 28.⏩ 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
  29. 29.True or false: “recorded spoken words” is training data. (a) True (b) False
  30. 30.True or false: “past weather records” is training data. (a) True (b) False
  31. 31.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  32. 32.True or false: “naming a new leaf” is the model. (a) False (b) True
  33. 33.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
  34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  35. 35.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
  36. 36.True or false: “the learned patterns” is training data. (a) False (b) True
  37. 37.Which of these is the model? (a) flagging a new email (b) old emails marked spam (c) 500 labelled leaf photos (d) what training builds
  38. 38.True or false: “the learned patterns” is the model. (a) True (b) False
  39. 39.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
  40. 40.True or false: “past weather records” is a prediction. (a) False (b) True

Answer key

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

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