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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 420 · 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 recorded spoken words? (a) the trained program (b) recorded spoken words
  2. 2.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) training data (c) a prediction
  3. 3.Which of these is a prediction? (a) naming a new leaf (b) recorded spoken words (c) the learned patterns (d) past weather records
  4. 4.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  5. 5.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  6. 6.Which of these is training data? (a) what training builds (b) the trained program (c) flagging a new email (d) old emails marked spam
  7. 7.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) flagging a new email (d) labelled fruit photos
  8. 8.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  9. 9.⏩ 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
  10. 10.⏩ 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
  11. 11.Which of these is a prediction? (a) the trained program (b) past weather records (c) labelled fruit photos (d) flagging a new email
  12. 12.Which of these is a prediction? (a) the trained program (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
  13. 13.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  14. 14.True or false: “naming a new leaf” is the model. (a) True (b) False
  15. 15.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
  16. 16.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to delete its data (d) to see if it works
  17. 17.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) past weather records (d) the trained program
  18. 18.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  19. 19.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  20. 20.Which of these is the model? (a) recorded spoken words (b) naming a new fruit photo (c) past weather records (d) the learned patterns
  21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  22. 22.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  23. 23.Which of these is a prediction? (a) what training builds (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
  24. 24.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  25. 25.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new leaf? (a) 500 labelled leaf photos (b) naming a new leaf
  26. 26.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  27. 27.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  28. 28.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  29. 29.⏩ 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
  30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  31. 31.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
  32. 32.True or false: “recorded spoken words” is training data. (a) True (b) False
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) training data (c) the model
  34. 34.True or false: “the learned patterns” is the model. (a) False (b) True
  35. 35.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) the model (c) a prediction
  36. 36.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  37. 37.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  38. 38.True or false: “the trained program” is a prediction. (a) True (b) False
  39. 39.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  40. 40.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True

Answer key

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

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