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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 644 · 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.Which of these is training data? (a) the learned patterns (b) labelled fruit photos (c) flagging a new email (d) typing a new spoken word
  2. 2.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  3. 3.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  4. 4.⏩ 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
  5. 5.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  6. 6.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
  7. 7.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) naming a new fruit photo (d) the trained program
  8. 8.Which of these is the model? (a) the trained program (b) tomorrow’s rain guess (c) old emails marked spam (d) past weather records
  9. 9.Which of these is a prediction? (a) tomorrow’s rain guess (b) what training builds (c) the learned patterns (d) the trained program
  10. 10.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  11. 11.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) 500 labelled leaf photos (d) naming a new fruit photo
  12. 12.True or false: “what training builds” is the model. (a) True (b) False
  13. 13.⏩ 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
  14. 14.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  15. 15.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  16. 16.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  17. 17.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
  18. 18.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  19. 19.True or false: “flagging a new email” is the model. (a) True (b) False
  20. 20.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
  21. 21.True or false: “labelled fruit photos” is the model. (a) False (b) True
  22. 22.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  23. 23.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
  24. 24.True or false: “flagging a new email” is training data. (a) True (b) False
  25. 25.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  26. 26.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  27. 27.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
  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.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  30. 30.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
  31. 31.Which of these is training data? (a) the learned patterns (b) past weather records (c) tomorrow’s rain guess (d) what training builds
  32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
  33. 33.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) naming a new fruit photo (d) 500 labelled leaf photos
  34. 34.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) flagging a new email (d) naming a new leaf
  35. 35.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
  37. 37.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  38. 38.True or false: “labelled fruit photos” is training data. (a) False (b) True
  39. 39.True or false: “the learned patterns” is training data. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words

Answer key

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

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