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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 748 · 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) tomorrow’s rain guess (c) what training builds (d) 500 labelled leaf photos
  2. 2.Which of these is training data? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) the trained program
  3. 3.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
  4. 4.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  5. 5.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) the learned patterns (d) labelled fruit photos
  6. 6.True or false: “old emails marked spam” is training data. (a) False (b) True
  7. 7.Which of these is the model? (a) 500 labelled leaf photos (b) past weather records (c) what training builds (d) recorded spoken words
  8. 8.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  9. 9.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) the learned patterns (d) past weather records
  10. 10.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  11. 11.🧪 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
  12. 12.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  13. 13.True or false: “the trained program” is the model. (a) True (b) False
  14. 14.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  15. 15.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) the trained program (d) labelled fruit photos
  16. 16.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  17. 17.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  18. 18.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  19. 19.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  20. 20.⏩ In machine learning, which comes first: the trained program or tomorrow’s rain guess? (a) the trained program (b) tomorrow’s rain guess
  21. 21.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  22. 22.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  23. 23.⏩ 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
  24. 24.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  25. 25.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  26. 26.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  27. 27.True or false: “flagging a new email” is training data. (a) True (b) False
  28. 28.⏩ In machine learning, which comes first: recorded spoken words or tomorrow’s rain guess? (a) recorded spoken words (b) tomorrow’s rain guess
  29. 29.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  30. 30.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) tomorrow’s rain guess (d) old emails marked spam
  31. 31.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  32. 32.⏩ In machine learning, which comes first: recorded spoken words or naming a new leaf? (a) recorded spoken words (b) naming a new leaf
  33. 33.True or false: “the learned patterns” is a prediction. (a) True (b) False
  34. 34.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) naming a new leaf (d) flagging a new email
  35. 35.True or false: “what training builds” is the model. (a) True (b) False
  36. 36.True or false: “labelled fruit photos” is training data. (a) False (b) True
  37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  38. 38.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  39. 39.True or false: “recorded spoken words” is the model. (a) True (b) False
  40. 40.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word

Answer key

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

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