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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 304 · 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.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  2. 2.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  3. 3.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to make it slower (d) to see if it works
  4. 4.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  5. 5.Which of these is training data? (a) past weather records (b) tomorrow’s rain guess (c) what training builds (d) flagging a new email
  6. 6.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  7. 7.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  8. 8.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) a prediction (c) the model
  9. 9.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
  10. 10.Which of these is the model? (a) tomorrow’s rain guess (b) 500 labelled leaf photos (c) past weather records (d) the learned patterns
  11. 11.⏩ 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
  12. 12.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  13. 13.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) flagging a new email (d) the learned patterns
  14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  15. 15.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  16. 16.Which of these is training data? (a) what training builds (b) labelled fruit photos (c) flagging a new email (d) naming a new leaf
  17. 17.Which of these is training data? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) what training builds (d) flagging a new email
  18. 18.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  19. 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  21. 21.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  22. 22.Which of these is the model? (a) what training builds (b) recorded spoken words (c) tomorrow’s rain guess (d) flagging a new email
  23. 23.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  24. 24.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
  25. 25.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  27. 27.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) what training builds (d) recorded spoken words
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  29. 29.Which of these is training data? (a) flagging a new email (b) what training builds (c) old emails marked spam (d) the trained program
  30. 30.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  31. 31.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  32. 32.True or false: “typing a new spoken word” is training data. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
  34. 34.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
  36. 36.Which of these is a prediction? (a) recorded spoken words (b) the learned patterns (c) what training builds (d) tomorrow’s rain guess
  37. 37.True or false: “recorded spoken words” is the model. (a) False (b) True
  38. 38.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  39. 39.True or false: “the trained program” is a prediction. (a) False (b) True
  40. 40.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program

Answer key

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

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